Artificial Intelligence: Theory and development of COMPUTER SYSTEMS which perform tasks that normally require human intelligence. Such tasks may include speech recognition, LEARNING; VISUAL PERCEPTION; MATHEMATICAL COMPUTING; reasoning, PROBLEM SOLVING, DECISION-MAKING, and translation of language.Intelligence: The ability to learn and to deal with new situations and to deal effectively with tasks involving abstractions.Expert Systems: Computer programs based on knowledge developed from consultation with experts on a problem, and the processing and/or formalizing of this knowledge using these programs in such a manner that the problems may be solved.Fuzzy Logic: Approximate, quantitative reasoning that is concerned with the linguistic ambiguity which exists in natural or synthetic language. At its core are variables such as good, bad, and young as well as modifiers such as more, less, and very. These ordinary terms represent fuzzy sets in a particular problem. Fuzzy logic plays a key role in many medical expert systems.Neural Networks (Computer): A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming.Chloroprene: Toxic, possibly carcinogenic, monomer of neoprene, a synthetic rubber; causes damage to skin, lungs, CNS, kidneys, liver, blood cells and fetuses. Synonym: 2-chlorobutadiene.Decision Making, Computer-Assisted: Use of an interactive computer system designed to assist the physician or other health professional in choosing between certain relationships or variables for the purpose of making a diagnostic or therapeutic decision.Intelligence Tests: Standardized tests that measure the present general ability or aptitude for intellectual performance.Diagnosis, Computer-Assisted: Application of computer programs designed to assist the physician in solving a diagnostic problem.Emotional Intelligence: The ability to understand and manage emotions and to use emotional knowledge to enhance thought and deal effectively with tasks. Components of emotional intelligence include empathy, self-motivation, self-awareness, self-regulation, and social skill. Emotional intelligence is a measurement of one's ability to socialize or relate to others.Algorithms: A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.Computer Simulation: Computer-based representation of physical systems and phenomena such as chemical processes.Wechsler Scales: Tests designed to measure intellectual functioning in children and adults.Software: Sequential operating programs and data which instruct the functioning of a digital computer.Cognition: Intellectual or mental process whereby an organism obtains knowledge.Stanford-Binet Test: An individual intelligence test designed primarily for school children to predict school performance and the ability to adjust to everyday demands.Neuropsychological Tests: Tests designed to assess neurological function associated with certain behaviors. They are used in diagnosing brain dysfunction or damage and central nervous system disorders or injury.Cognition Disorders: Disturbances in mental processes related to learning, thinking, reasoning, and judgment.Child Development: The continuous sequential physiological and psychological maturing of an individual from birth up to but not including ADOLESCENCE.Intellectual Disability: Subnormal intellectual functioning which originates during the developmental period. This has multiple potential etiologies, including genetic defects and perinatal insults. Intelligence quotient (IQ) scores are commonly used to determine whether an individual has an intellectual disability. IQ scores between 70 and 79 are in the borderline range. Scores below 67 are in the disabled range. (from Joynt, Clinical Neurology, 1992, Ch55, p28)Problem Solving: A learning situation involving more than one alternative from which a selection is made in order to attain a specific goal.Executive Function: A set of cognitive functions that controls complex, goal-directed thought and behavior. Executive function involves multiple domains, such as CONCEPT FORMATION, goal management, cognitive flexibility, INHIBITION control, and WORKING MEMORY. Impaired executive function is seen in a range of disorders, e.g., SCHIZOPHRENIA; and ADHD.Encyclopedias as Topic: Works containing information articles on subjects in every field of knowledge, usually arranged in alphabetical order, or a similar work limited to a special field or subject. (From The ALA Glossary of Library and Information Science, 1983)Research Design: A plan for collecting and utilizing data so that desired information can be obtained with sufficient precision or so that an hypothesis can be tested properly.MedlinePlus: NATIONAL LIBRARY OF MEDICINE service for health professionals and consumers. It links extensive information from the National Institutes of Health and other reviewed sources of information on specific diseases and conditions.Directories as Topic: Lists of persons or organizations, systematically arranged, usually in alphabetic or classed order, giving address, affiliations, etc., for individuals, and giving address, officers, functions, and similar data for organizations. (ALA Glossary of Library and Information Science, 1983)Saint Vincent and the Grenadines: A self-governing state of the Windward Islands in the West Indies, comprising Saint Vincent and the northern islets of the Grenadines. Its capital is Kingstown. It is one of the original homes of the Carib Indians supposed to have been sighted by Columbus in 1498. It was in English hands from 1627 till held by the French 1779-83. Saint Vincent subsequently became a British possession and, with other nearby British territories, was administered by the Governor of the Windward Islands till 1959. It attained a measure of independence in 1969 but achieved full independence as Saint Vincent and the Grenadines in 1979. Saint Vincent was the 4th century Spanish martyr on whose feast day Columbus discovered the island. Grenadines is derived from the Spanish kingdom of Granada. (From Webster's New Geographical Dictionary, 1988, p1054 & The Europa World Year Book 1993, p2441)Cellular Phone: Analog or digital communications device in which the user has a wireless connection from a telephone to a nearby transmitter. It is termed cellular because the service area is divided into multiple "cells." As the user moves from one cell area to another, the call is transferred to the local transmitter.Electronics: The study, control, and application of the conduction of ELECTRICITY through gases or vacuum, or through semiconducting or conducting materials. (McGraw-Hill Dictionary of Scientific and Technical Terms, 6th ed)Television: The transmission and reproduction of transient images of fixed or moving objects. An electronic system of transmitting such images together with sound over a wire or through space by apparatus that converts light and sound into electrical waves and reconverts them into visible light rays and audible sound. (From Webster, 3rd ed)Pathology Department, Hospital: Hospital department which administers and provides pathology services.Headache: The symptom of PAIN in the cranial region. It may be an isolated benign occurrence or manifestation of a wide variety of HEADACHE DISORDERS.HydrocarbonsConnecticutMilitary Personnel: Persons including soldiers involved with the armed forces.Quantum Theory: The theory that the radiation and absorption of energy take place in definite quantities called quanta (E) which vary in size and are defined by the equation E=hv in which h is Planck's constant and v is the frequency of the radiation.AustriaQuantum Dots: Nanometer sized fragments of semiconductor crystalline material which emit PHOTONS. The wavelength is based on the quantum confinement size of the dot. They can be embedded in MICROBEADS for high throughput ANALYTICAL CHEMISTRY TECHNIQUES.Feedback, Physiological: A mechanism of communication with a physiological system for homeostasis, adaptation, etc. Physiological feedback is mediated through extensive feedback mechanisms that use physiological cues as feedback loop signals to control other systems.Microscopy, Scanning Tunneling: A type of scanning probe microscopy in which a very sharp conducting needle is swept just a few angstroms above the surface of a sample. The tiny tunneling current that flows between the sample and the needle tip is measured, and from this are produced three-dimensional topographs. Due to the poor electron conductivity of most biological samples, thin metal coatings are deposited on the sample.Video Games: A form of interactive entertainment in which the player controls electronically generated images that appear on a video display screen. This includes video games played in the home on special machines or home computers, and those played in arcades.Game Theory: Theoretical construct used in applied mathematics to analyze certain situations in which there is an interplay between parties that may have similar, opposed, or mixed interests. In a typical game, decision-making "players," who each have their own goals, try to gain advantage over the other parties by anticipating each other's decisions; the game is finally resolved as a consequence of the players' decisions.Games, Experimental: Games designed to provide information on hypotheses, policies, procedures, or strategies.Image Processing, Computer-Assisted: A technique of inputting two-dimensional images into a computer and then enhancing or analyzing the imagery into a form that is more useful to the human observer.Microscopy, Atomic Force: A type of scanning probe microscopy in which a probe systematically rides across the surface of a sample being scanned in a raster pattern. The vertical position is recorded as a spring attached to the probe rises and falls in response to peaks and valleys on the surface. These deflections produce a topographic map of the sample.Imaging, Three-Dimensional: The process of generating three-dimensional images by electronic, photographic, or other methods. For example, three-dimensional images can be generated by assembling multiple tomographic images with the aid of a computer, while photographic 3-D images (HOLOGRAPHY) can be made by exposing film to the interference pattern created when two laser light sources shine on an object.Electricity: The physical effects involving the presence of electric charges at rest and in motion.ArtCommunication Aids for Disabled: Equipment that provides mentally or physically disabled persons with a means of communication. The aids include display boards, typewriters, cathode ray tubes, computers, and speech synthesizers. The output of such aids includes written words, artificial speech, language signs, Morse code, and pictures.PaintingsBioelectric Energy Sources: Electric power supply devices which convert biological energy, such as chemical energy of metabolism or mechanical energy of periodic movements, into electrical energy.Famous PersonsSound: A type of non-ionizing radiation in which energy is transmitted through solid, liquid, or gas as compression waves. Sound (acoustic or sonic) radiation with frequencies above the audible range is classified as ultrasonic. Sound radiation below the audible range is classified as infrasonic.

E-CELL: software environment for whole-cell simulation. (1/4007)

MOTIVATION: Genome sequencing projects and further systematic functional analyses of complete gene sets are producing an unprecedented mass of molecular information for a wide range of model organisms. This provides us with a detailed account of the cell with which we may begin to build models for simulating intracellular molecular processes to predict the dynamic behavior of living cells. Previous work in biochemical and genetic simulation has isolated well-characterized pathways for detailed analysis, but methods for building integrative models of the cell that incorporate gene regulation, metabolism and signaling have not been established. We, therefore, were motivated to develop a software environment for building such integrative models based on gene sets, and running simulations to conduct experiments in silico. RESULTS: E-CELL, a modeling and simulation environment for biochemical and genetic processes, has been developed. The E-CELL system allows a user to define functions of proteins, protein-protein interactions, protein-DNA interactions, regulation of gene expression and other features of cellular metabolism, as a set of reaction rules. E-CELL simulates cell behavior by numerically integrating the differential equations described implicitly in these reaction rules. The user can observe, through a computer display, dynamic changes in concentrations of proteins, protein complexes and other chemical compounds in the cell. Using this software, we constructed a model of a hypothetical cell with only 127 genes sufficient for transcription, translation, energy production and phospholipid synthesis. Most of the genes are taken from Mycoplasma genitalium, the organism having the smallest known chromosome, whose complete 580 kb genome sequence was determined at TIGR in 1995. We discuss future applications of the E-CELL system with special respect to genome engineering. AVAILABILITY: The E-CELL software is available upon request. SUPPLEMENTARY INFORMATION: The complete list of rules of the developed cell model with kinetic parameters can be obtained via our web site at: http://e-cell.org/.  (+info)

A prognostic computer model to individually predict post-procedural complications in interventional cardiology: the INTERVENT Project. (2/4007)

AIMS: The purpose of this part of the INTERVENT project was (1) to redefine and individually predict post-procedural complications associated with coronary interventions, including alternative/adjunctive techniques to PTCA and (2) to employ the prognostic INTERVENT computer model to clarify the structural relationship between (pre)-procedural risk factors and post-procedural outcome. METHODS AND RESULTS: In a multicentre study, 2500 data items of 455 consecutive patients (mean age: 61.1+/-8.3 years: 33-84 years) undergoing coronary interventions at three university centres were analysed. 80.4% of the patients were male, 16.7% had unstable angina, and 5.1%/10.1% acute/subacute myocardial infarction. There were multiple or multivessel stenoses in 16.0%, vessel bending >90 degrees in 14.5%, irregular vessel contours in 65.0%, moderate calcifications in 20.9%, moderate/severe vessel tortuosity in 53.2% and a diameter stenosis of 90%-99% in 44.4% of cases. The in-lab (out-of-lab) complications were: 0.4% (0.9%) death, 1.8% (0.2%) abrupt vessel closure with myocardial infarction and 5.5% (4.0) haemodynamic disorders. CONCLUSION: Computer algorithms derived from artificial intelligence were able to predict the individual risk of these post-procedural complications with an accuracy of >95% and to explain the structural relationship between risk factors and post-procedural complications. The most important prognostic factors were: heart failure (NYHA class), use of adjunctive/alternative techniques (rotablation, atherectomy, laser), acute coronary ischaemia, pre-existent cardiac medication, stenosis length, stenosis morphology (calcification), gender, age, amount of contrast agent and smoker status. Pre-medication with aspirin or other cardiac medication had a beneficial effect. Techniques, such as laser angioplasty or atherectomy were predictors for post-procedural complications. Single predictors alone were not able to describe the individual outcome completely.  (+info)

Virtual management of radiology examinations in the virtual radiology environment using common object request broker architecture services. (3/4007)

In the Department of Defense (DoD), US Army Medical Command is now embarking on an extremely exciting new project--creating a virtual radiology environment (VRE) for the management of radiology examinations. The business of radiology in the military is therefore being reengineered on several fronts by the VRE Project. In the VRE Project, a set of intelligent agent algorithms determine where examinations are to routed for reading bases on a knowledge base of the entire VRE. The set of algorithms, called the Meta-Manager, is hierarchical and uses object-based communications between medical treatment facilities (MTFs) and medical centers that have digital imaging network picture archiving and communications systems (DIN-PACS) networks. The communications is based on use of common object request broker architecture (CORBA) objects and services to send patient demographics and examination images from DIN-PACS networks in the MTFs to the DIN-PACS networks at the medical centers for diagnosis. The Meta-Manager is also responsible for updating the diagnosis at the originating MTF. CORBA services are used to perform secure message communications between DIN-PACS nodes in the VRE network. The Meta-Manager has a fail-safe architecture that allows the master Meta-Manager function to float to regional Meta-Manager sites in case of server failure. A prototype of the CORBA-based Meta-Manager is being developed by the University of Arizona's Computer Engineering Research Laboratory using the unified modeling language (UML) as a design tool. The prototype will implement the main functions described in the Meta-Manager design specification. The results of this project are expected to reengineer the process of radiology in the military and have extensions to commercial radiology environments.  (+info)

Meta-manager: a requirements analysis. (4/4007)

The digital imaging network-picture-archiving and communications system (DIN-PACS) will be implemented in ten sites within the Great Plains Regional Medical Command (GPRMC). This network of PACS and teleradiology technology over a shared T1 network has opened the door for round the clock radiology coverage of all sites. However, the concept of a virtual radiology environment poses new issues for military medicine. A new workflow management system must be developed. This workflow management system will allow us to efficiently resolve these issues including quality of care, availability, severe capitation, and quality of the workforce. The design process of this management system must employ existing technology, operate over various telecommunication networks and protocols, be independent of platform operating systems, be flexible and scaleable, and involve the end user at the outset in the design process for which it is developed. Using the unified modeling language (UML), the specifications for this new business management system were created in concert between the University of Arizona and the GPRMC. These specifications detail a management system operating through a common object request brokered architecture (CORBA) environment. In this presentation, we characterize the Meta-Manager management system including aspects of intelligence, interfacility routing, fail-safe operations, and expected improvements in patient care and efficiency.  (+info)

Integrated radiology information system, picture archiving and communications system, and teleradiology--workflow-driven and future-proof. (5/4007)

The proliferation of integrated radiology information system/picture archiving and communication system (RIS/PACS) and teleradiology has been slow because of two concerns: usability and economic return. A major dissatisfaction on the usability issue is that contemporary systems are not intelligent enough to support the logical workflow of radiologists. We propose to better understand the algorithms underlying the radiologists' reading process, and then embed this intelligence into the software program so that radiologists can interact with the system with less conscious effort. Regarding economic return issues, people are looking for insurance against obsolescence in order to protect their investments. We propose to future-proof a system by sticking to the following principles: compliance to industry standards, commercial off-the-shelf (COTS) components, and modularity. An integrated RIS/PACS and teleradiology system designed to be workflow-driven and future-proof is being developed at Texas Tech University Health Sciences Center.  (+info)

Mapping of putative binding sites on the ectodomain of the type II TGF-beta receptor by scanning-deletion mutagenesis and knowledge-based modeling. (6/4007)

Binding surfaces of the type II transforming growth factor (TGF)-beta receptor extracellular domain (TbetaRII-ECD) are mapped by combining scanning-deletion mutagenesis results with knowledge-based modeling of the ectodomain structure. Of the 17 deletion mutants produced within the core binding domain of TbetaRII-ECD, only three retained binding to TGF-beta. Comparative modeling based on the crystal structure of the activin type II receptor extracellular domain (ActRII-ECD) indicates that the TbetaRII mutants which retain TGF-beta binding are deleted in some of the loops connecting the beta-strands in the TbetaRII-ECD model. Interpretation of the mutagenesis data within the structural framework of the ectodomain model allows for the prediction of potential binding sites at the surface of TbetaRII-ECD.  (+info)

Integrated databases and computer systems for studying eukaryotic gene expression. (7/4007)

MOTIVATION: The goal of the work was to develop a WWW-oriented computer system providing a maximal integration of informational and software resources on the regulation of gene expression and navigation through them. Rapid growth of the variety and volume of information accumulated in the databases on regulation of gene expression necessarily requires the development of computer systems for automated discovery of the knowledge that can be further used for analysis of regulatory genomic sequences. RESULTS: The GeneExpress system developed includes the following major informational and software modules: (1) Transcription Regulation (TRRD) module, which contains the databases on transcription regulatory regions of eukaryotic genes and TRRD Viewer for data visualization; (2) Site Activity Prediction (ACTIVITY), the module for analysis of functional site activity and its prediction; (3) Site Recognition module, which comprises (a) B-DNA-VIDEO system for detecting the conformational and physicochemical properties of DNA sites significant for their recognition, (b) Consensus and Weight Matrices (ConsFrec) and (c) Transcription Factor Binding Sites Recognition (TFBSR) systems for detecting conservative contextual regions of functional sites and their recognition; (4) Gene Networks (GeneNet), which contains an object-oriented database accumulating the data on gene networks and signal transduction pathways, and the Java-based Viewer for exploration and visualization of the GeneNet information; (5) mRNA Translation (Leader mRNA), designed to analyze structural and contextual properties of mRNA 5'-untranslated regions (5'-UTRs) and predict their translation efficiency; (6) other program modules designed to study the structure-function organization of regulatory genomic sequences and regulatory proteins. AVAILABILITY: GeneExpress is available at http://wwwmgs.bionet.nsc. ru/systems/GeneExpress/ and the links to the mirror site(s) can be found at http://wwwmgs.bionet.nsc.ru/mgs/links/mirrors.html+ ++.  (+info)

Automated diagnosis of data-model conflicts using metadata. (8/4007)

The authors describe a methodology for helping computational biologists diagnose discrepancies they encounter between experimental data and the predictions of scientific models. The authors call these discrepancies data-model conflicts. They have built a prototype system to help scientists resolve these conflicts in a more systematic, evidence-based manner. In computational biology, data-model conflicts are the result of complex computations in which data and models are transformed and evaluated. Increasingly, the data, models, and tools employed in these computations come from diverse and distributed resources, contributing to a widening gap between the scientist and the original context in which these resources were produced. This contextual rift can contribute to the misuse of scientific data or tools and amplifies the problem of diagnosing data-model conflicts. The authors' hypothesis is that systematic collection of metadata about a computational process can help bridge the contextual rift and provide information for supporting automated diagnosis of these conflicts. The methodology involves three major steps. First, the authors decompose the data-model evaluation process into abstract functional components. Next, they use this process decomposition to enumerate the possible causes of the data-model conflict and direct the acquisition of diagnostically relevant metadata. Finally, they use evidence statically and dynamically generated from the metadata collected to identify the most likely causes of the given conflict. They describe how these methods are implemented in a knowledge-based system called GRENDEL and show how GRENDEL can be used to help diagnose conflicts between experimental data and computationally built structural models of the 30S ribosomal subunit.  (+info)

Agent--Based Models (ABMs) are indispensable to studying the aggregated impacts of individual actions of heterogeneous interacting adaptive agents. Concurrently, artificial intelligence has been employed for decades to simulate autonomous actions of individual entities that react, learn and exchange information with an environment and one another. There are obvious synergies between the two computational approaches. For example, artificial intelligence is often used to enhance agents behaviour in ABMs. Artificial intelligence learning algorithms (AILAs) allow for a richer agents architecture for operationalization of more realistic learning decisions beyond a simplistic treatment of agents cognitive and sensory capacities. Firstly, we review recent socio--economic and spatial ABMs that employ different AILAs to create individually, socially and spatially intelligent agents. We provide a systematic structured analysis of the types of AILAs employed in various application domains, their specific
As a MarketResearchReports.Biz report, it covers all details inside analysis and opinion in "Artificial Intelligence Market". This report mainly introduces volume and value market share by players, by regions, by product type, by consumers and also their price change details.. This report splits "Artificial Intelligence Market" by Product & Service, by Test Type, by Allergen, which covers the history data information from 2016 to 2024.. The "Artificial Intelligence Market" report provides analysis of the global artificial intelligence market for the period 2014-2024, wherein the years from 2016 to 2024 is the forecast period and 2015 is considered as the base year. The report precisely covers all the major trends and technologies playing a major role in the artificial intelligence markets growth over the forecast period. It also highlights the drivers, restraints, and opportunities expected to influence the market growth during this period. The study provides a holistic perspective on the ...
Purpose This paper proposes a real-time knowledge support framework for the development of an RFID-multi-agent based process knowledge-based system which has the ability to solve dynamic logistics process management problems. Design/methodology/approach The proposed system is developed with real-time process management capability which automatically identifies current process status, performs the process logic checking/reasoning, and, provides process knowledge support to staff members when they are tackling logistics activity problems. The unique feature of this on-line knowledge-based system, which enables it to enhance the performance of logistics organizations, is a process management engine incorporating radio-frequency identification (RFID) and multi-agent (MA) technologies.
With the great advancement in robot technology, smart human-robot interaction is considered to be the most wanted success by the researchers these days. If a robot can identify emotions and intentions of a human interacting with it, that would make robots more useful. Electroencephalography (EEG) is considered one effective way of recording emotions and motivations of a human using brain. Various machine learning techniques are used successfully to classify EEG data accurately. K-Nearest Neighbor, Bayesian Network, Artificial Neural Networks and Support Vector Machine are among the suitable machine learning techniques to classify EEG data. The aim of this thesis is to evaluate different machine learning techniques to classify EEG data associated with specific affective/emotional states. Different methods based on different signal processing techniques are studied to find a suitable method to process the EEG data. Various number of EEG data features are used to identify those which give best ...
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Research of the Section for Artificial Intelligence and Decision Support (AID) focusses on Artificial Intelligence technology and computer-based decison support and its use in the medical domain. This includes the development of software systems for intelligent data analysis, knowledge-based systems technology for decision support and therapy planning, and natural language processing which deals with automatic processing of text and speech.. The department offers lectures in Artificial Intelligence on an introductory as well as an advanced level. With regard to particular study programmes, we offer courses for students of Medicine and of Medical Informatics, as well as for students of the Middle European Master Programme in Cognitive Science. Courses are also offered for computer science students in a cooperation with the University of Vienna.. The department was founded in 1977 as an institute of the Medical Faculty of the University of Vienna. In 2004, it became part of the Center for Brain ...
Global Healthcare Artificial Intelligence Market Professional Survey Report 2017" Purchase This Report by calling ResearchnReports.com at +1-888-631-6977.. Healthcare Artificial Intelligence Market size was over USD 750 million in 2016 and forecast to witness nearly 40% CAGR from 2017 to 2024.. Artificial Intelligence has extensive applications in the field of drug discovery and the medical imaging industry. It performs tasks that require human-like qualities of judgment and perception for its application in healthcare systems. Introduction of innovative technology for detection of disease such as CT scans, MRI scans and picture archiving and communications (PAC) have enabled doctors to achieve 60-70% more accurate results instantly.. Innovation in clinical research and robotic personal assistants should drive healthcare artificial intelligence market growth. Growing application in the field of genomics and precision medicine will boost personalized treatments customized to an individual ...
Leen dit bij een bibliotheek! Artificial intelligence in medicine : 14th Conference on Artificial Intelligence in Medicine, AIME 2013, Murcia, Spain, May 29-June 1, 2013 : proceedings. [Niels Peek; Roque Marín Morales; Mor Peleg;] -- This book constitutes the refereed proceedings of the 14th Conference on Artificial Intelligence in Medicine, AIME 2013, held in Murcia, Spain, in May/June 2013. The 43 revised full and short papers ...
Engineering & Artificial Intelligence Projects for $10 - $30. There are two artificial intelligence homework. Homework-3 has 6 questions and Homework-4 has 4 questions. The artificial intelligence homework will send with message. Payment will be done after home...
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In this chapter we provide a survey of protein secondary and supersecondary structure prediction using methods from machine learning. Our focus is on machine learning methods applicable to β-hairpin and β-sheet prediction, but we also discuss methods for more general supersecondary structure prediction. We provide background on the secondary and supersecondary structures that we discuss, the features used to describe them, and the basic theory behind the machine learning methods used. We survey the machine learning methods available for secondary and supersecondary structure prediction and compare them where possible.. ...
The challenge with artificial intelligence is that no single and agreed-upon definition exists. Nils Nilsson defined A.I. as "activity devoted to making machines intelligent, and intelligence is that quality that enables an entity to function appropriately and with foresight in its environment." But that definition isnt close to describing how A.I. evolved.. Artificial intelligence began with the Turing Test, proposed in 1950 by Alan Turing, the scientist, cryptanalyst and theoretical biologist. Since then, rapid progress has been made over the last 75 years, advancing A.I. capabilities.. Isaac Asimov proposed the Three Laws of Robotics in 1950. The first A.I. program was coded in 1951. In 1959, MIT began research in the field of artificial intelligence. GM introduced the first robot into its production assembly line in 1961. The 1960s were transformative, with the first machine learning program written and the first demonstration of an A.I. program which understood natural language, and the ...
Applying Artificial Intelligence to Financial Investing: 10.4018/978-1-5225-2255-3.ch001: Artificial intelligence techniques have long been applied to financial investing scenarios to determine market inefficiencies, criteria for credit scoring
Peptides are routinely identified from mass spectrometry-based proteomics experiments by matching observed spectra to peptides derived from protein databases. The error rates of these identifications can be estimated by target-decoy analysis, which involves matching spectra to shuffled or reversed peptides. Besides estimating error rates, decoy searches can be used by semi-supervised machine learning algorithms to increase the number of confidently identified peptides. As for all machine learning algorithms, however, the results must be validated to avoid issues such as overfitting or biased learning, which would produce unreliable peptide identifications. Here, we discuss how the target-decoy method is employed in machine learning for shotgun proteomics, focusing on how the results can be validated by cross-validation, a frequently used validation scheme in machine learning. We also use simulated data to demonstrate the proposed cross-validation schemes ability to detect overfitting.. ...
Purpose: The study is conducted to evaluate the adaptability of artificial intelligence in recruitment and to assess the effect of this technology on the performance of the employees. Design/Methodology/Approach: Standard Multiple Linear regression model is used to predict the performance of the employees and one-way ANOVA is used to compare the artificial intelligence based recruitment with performance indicating variables namely reliability, productivity, Automation, Gamification & Training using SPSS. Snowball sampling method has been adopted for a sample size of 440 respondents working in leading recruitment consultancies in urban Bangalore. Findings: There is a greater association between the recruitment and performance variables when artificial intelligence is adopted as it is significant at 0.001 per cent level and productivity being the maximum. However, the impact of implementing gamification for recruitment doesnt have a significant impact on the output due to partial significant
Get information, facts, and pictures about artificial intelligence at Encyclopedia.com. Make research projects and school reports about artificial intelligence easy with credible articles from our FREE, online encyclopedia and dictionary.
TUESDAY, April 25, 2017 (HealthDay News) -- It may be possible to use artificial intelligence to diagnose tuberculosis in people who live in developing nations, a new study suggests.. TB, among the top 10 causes of death worldwide, can be identified on X-rays. But, the expertise required to screen for and diagnose TB is often lacking in areas that have high rates of the lung disease, according to the studys authors.. The researchers from Thomas Jefferson University in Philadelphia used 1,007 X-rays of people with and without active TB to train artificial intelligence models to identify TB on X-rays. It proved highly accurate -- up to 96 percent-- in diagnosing cases.. The study findings were published online April 25 in the journal Radiology. "An artificial intelligence solution that could interpret radiographs for presence of TB in a cost-effective way could expand the reach of early identification and treatment in developing nations," study co-author Dr. Paras Lakhani, an assistant professor ...
Artificial Intelligence is already impacting our lives in a major way. Be it getting driving instructions through our smart phone or getting daily reminders by our fitness device to increase our workouts, all these are manifestations of how Artificial Intelligence is changing the way we function. What is often less understood is the significant role Artificial Intelligence can play in the social sector.
View Notes - Homework1 from ENGL 135 at DeVry Addison. Ginger Binder Artificial Intelligence Homework #1 1. Researching and examining various artificial intelligence articles on the subject
How is Mcculloch-Pitts Neuron Model (artificial intelligence) abbreviated? M-P stands for Mcculloch-Pitts Neuron Model (artificial intelligence). M-P is defined as Mcculloch-Pitts Neuron Model (artificial intelligence) very rarely.
The mission of the CI group in our Department is to perform research on various aspects of computational intelligence and to contribute to the Business Mathematics and Informatics curriculum. Computational Intelligence belongs to the areas of evolutionary computing, fuzzy computing and neurocomputing. As opposed to traditional logic based artificial intelligence techniques, computational intelligence techniques are generally bottom-up, where order and structure emerges from an unstructured beginning ...
Intelligent systems can optimise their structure and properties in order to successfully function within a complex, partially changing environment. Three sub-areas - perception, learning and action - can be differentiated here. The scientists at the Max Planck Institute for Intelligent Systems are carrying out basic research and development of intelligent systems in all three sub-areas. Research expertise in the areas of computer science, material science and biology is brought together in one Institute, at two different sites.
An Analytical Study on Performance Factors of Automatic Classification based on Machine Learning - automatic classification;text categorization;performance factors;conference paper;rocchio algorithm;multi-label classification;machine learning;
Artificial Intelligence can not only turn your customer data into business insights but can use that information to make intelligent decisions, predict outcomes, suggest actions and automate tasks based on machine learning. AI makes your business smarter about how and when it engages its customers. Artificial intelligence is a game-changing business technology thats transforming how we work.
Artificial Intelligence can not only turn your customer data into business insights but can use that information to make intelligent decisions, predict outcomes, suggest actions and automate tasks based on machine learning. AI makes your business smarter about how and when it engages its customers. Artificial intelligence is a game-changing business technology thats transforming how we work.
We proposed FuNeL, a protocol to infer functional networks based on the co-prediction paradigm where the structure of a rule-based machine learning model (in this paper the rules of a classification algorithm called BioHEL) is used to identify relationships between genes. We tested FuNeL on synthetic datasets and obtained a high success rate in identifying pairwise relationships between attributes. Encouraged by this result, we hypothesised that a rule-based machine learning model, with its complex knowledge representation, might be used to identify biologically meaningful relationships that escape the standard inference methods.. To test this hypothesis, we evaluated 4 different configurations of the inference protocol using 8 cancer-related transcriptomics datasets. We compared FuNeL with other 3 co-expression inference methods by using networks of matching size generated from the same data. We looked at the differences, between co-prediction and co-expression, from three points of view: basic ...
by Matthew Lynch, Tech Edvocate. For years, educators have struggled to help each and every student with their individualized educational needs. That gets incredibly tough in a classroom of twenty, thirty, forty, or fifty students all required to pass the same standardized test, regardless of personal growth. The use of artificial intelligence has the potential to disrupt the traditional and potentially damaging one-size-fits all model of modern teaching. Machine Learning algorithms have already begun helping teachers fill the gaps while indicating which subjects students are struggling with the most. If you think AI and chalkboards dont go hand-in-hand, well prove you wrong with five examples of classroom-based Artificial Intelligence.. http://www.thetechedvocate.org/5-examples-artificial-intelligence-classroom/. Share on Facebook ...
please accept our apologies for cross-posting] ========================================== Call For Papers - Special Issue Submission Due Date: June 30, 2010 Special Issue On Medical Diagnosis Systems Guest Editors: - Alejandro Rodr guez-Gonz lez (Universidad Carlos III de Madrid, Spain) - Miguel Angel Mayer (Barcelona Medical Association, Spain) Introduction ,From the early 1970s, several diagnosis systems were introduced to assist physicians in the diagnosis process. Most of these systems were focused on concrete artificial intelligence techniques related to statistics and probabilistic-like Bayesian networks, probabilistic reasoning, and so forth. Today, there are several new artificial intelligence techniques that can be fully exploited to help the research and development of clinical decision support systems oriented to diagnosis. This diagnosis process can be of several types depending on the scope that appears to be covered: from the diagnosis of very concrete pathologies to the diagnosis ...
During the last few decades diabetes has become a major newlinedisease worldwide and hence an increasing measure of attention has been paid newlineto it because of its social and economic implications Glucose sensors can newlineplay a crucial role for a better treatment of diabetes mellitus In particular newlineContinuous Glucose Monitoring Systems CGMS are of great interest for newlineseveral reasons such as retrospective tuning and optimization of diabetes newlinetherapy along with on newlineThe predictive monitoring is very much essential to have an early newlinewarning of the impending hypo hyper glycemia so that preventive measures newlinecould be applied to avoid diabetic complications However the true scenario newlineis that the accuracy of this prediction process with the existing CGMSs is only newline50 with the remaining that are false or missing predictions Lack of newlineadvanced denoising techniques and non inclusion of glucose variability newlinemeasures in the prediction ...
Host: Steven van der Kroft, Senior Solutions Consultant, TIBCO Software The fourth industrial revolution, Industry 4.0, is now underway, changing business models and creating new revenue opportunities. It is characterized by an unprecedented convergence of people, systems, and devices-and use of machine learning algorithms. Learn more in our 45-minute webinar: Examples of machine learning algorithms in practice Processes and tasks using machine learning Typical use cases in manufacturing, transportation, and energy Q&A
The prediction of asthma that persists throughout childhood and into adulthood, in early life of a child has practical, clinical and prognostic implication
Ajith Abraham, Mario Köppen, Katrin Franke (Eds.): Design and Application of Hybrid Intelligent Systems, HIS03, the Third International Conference on Hybrid Intelligent Systems, Melbourne, Australia, December 14-17, 2003. Frontiers in Artificial Intelligence and Applications 105 IOS Press 2003, ISBN 1-58603-394- ...
Organizations face the ever growing challenge of providing security within their IT infrastructures. Static approaches to security, such as perimetral defense, have proven less than effective - and, therefore, more vulnerable - in a new scenario characterized by increasingly complex systems and by the evolution and automation of cyber attacks. Moreover, dynamic detection of attacks through IDSs (Instrusion Detection Systems) presents too many false positives to be effective. This work presents an approach on how to collect and normalize, as well as how to fuse and classify, security alerts. This approach involves collecting alerts from different sources and normalizes them according to standardized structures - IDMEF (Intrusion Detection Message Exchange Format). The normalized alerts are grouped into meta-alerts (fusion, or clustering), which are later classified using machine learning techniques into attacks or false alarms. We validate and report an implementation of this approach against the DARPA
Abstract Machine learning techniques will help in deriving hidden knowledge from clinical data which can be of great benefit for society, such as reduce the number of clinical trials required tor precise diagnosis of a disease of a person etc. Various areas of study are available in healthcare domain like cancer, diabetes, drugs etc. This paper focuses on heart disease dataset and how machine learning techniques can help in understanding the level of risk associated with heart diseases. Initially, data is preprocessed then analysis is done. ...
SAN FRANCISCO, CA - September 21, 2017 - Today Square announced that Naveen Rao, Corporate Vice President and General Manager of the Artificial Intelligence Products Group at Intel Corporation, has joined its Board of Directors.. "Square has an impressive track record of leveraging deep learning to improve its products, and theres much potential ahead," said Rao. "Im excited to work with such a forward-thinking team to accelerate the companys use of AI and leverage this work to expand access to the economy.". "Machine learning and deep learning are crucial to our continued innovation and growth," said Jack Dorsey, CEO of Square. "Naveens expertise will be hugely helpful to Square as we continue to integrate these technologies into every aspect of our business to ultimately better serve our customers.". Rao currently serves as Corporate Vice President and General Manager of the Artificial Intelligence Products Group at Intel, after serving as Vice President and General Manager of Artificial ...
Washington, D.C., Stanford, Calif., and New York, February 18, 2020 - The Administrative Conference of the United States (ACUS), Stanford Law School, and New York University School of Law are pleased to announce the release of a major report exploring federal agencies use of artificial intelligence (AI) to carry out administrative law functions. This is the most comprehensive study of the subject ever conducted in the United States. The report, entitled Government by Algorithm: Artificial Intelligence in Federal Administrative Agencies, examines the growing role that machine learning and other AI technologies are playing in federal agency adjudication, enforcement, and other regulatory activities. Based on a wide-ranging survey of federal agency activities and interviews with federal officials, the report maps current uses of AI technologies in federal agencies, highlights promising uses, and addresses challenges in assuring accountability, transparency, and non-discrimination. Stanford Law ...
A recent article in the New York Times (Feb 11, 2019)1 reports that artificial intelligence (AI) can be used to make a diagnosis in a pediatric population of 600,000 patients. The data involved 101.6 million data points derived from 1,362,559 patient visits from a pediatric hospital in Guangzhou China.2 Machine learning in this study associated common medical disorders with patient complaints and information gathered by the healthcare team of physicians, nurses, and technicians.. 1. New York Times Feb 11, 2019, https://www.nytimes.com/2019/02/11/health/artificial-intelligence-medical-diagnosis.html. 2. Huiying Liang et al. "Evaluation and accurate diagnoses of pediatric disease using artificial intelligence," Nature Medicine (2019), https://doi.org/10.1038/s41591-018-0335-9. ...
Click here to RSPV for lunch and a name tag.. This event will mark the launch of CITPs initiative on artificial intelligence, machine learning, and public policy. The initiative will examine a range of policy issues raised by artificial intelligence, including how to ensure the application of AI is fair and governable; the impact of AI on the economy and jobs; how AI will affect free expression and human rights; how to increase the diversity of the AI workforce; effects of AI on security and privacy; and so on. This launch event will include introductions to these policy areas from Princeton experts, and roundtable discussions on how to address them.. This event is sponsored by:. ...
Hoang, K., Fioretto, F., Hou, P., Yokoo, M., Yeoh, W. & Zivan, R., 1 1 2016, WS-16-01: Artificial Intelligence Applied to Assistive Technologies and Smart Environments; WS-16-02: AI, Ethics, and Society; WS-16-03: Artificial Intelligence for Cyber Security; WS-16-04: Artificial Intelligence for Smart Grids and Smart Buildings; WS-16-05: Beyond NP; WS-16-06: Computer Poker and Imperfect Information Games; WS-16-07: Declarative Learning Based Programming; WS-16-08: Expanding the Boundaries of Health Informatics Using AI; WS-16-09: Incentives and Trust in Electronic Communities; WS-16-10: Knowledge Extraction from Text; WS-16-11: Multiagent Interaction without Prior Coordination; WS-16-12: Planning for Hybrid Systems; WS-16-13: Scholarly Big Data: AI Perspectives, Challenges, and Ideas; WS-16-14: Symbiotic Cognitive Systems; WS-16-15: World Wide Web and Population Health Intelligence. AI Access Foundation, p. 233-240 8 p. (AAAI Workshop - Technical Report; 巻数 WS-16-01 - ...
Read chapter 5 Enablers of Machine Learning Algorithms and Systems: The Intelligence Community Studies Board (ICSB) of the National Academies of Sciences,...
Temporal Logic: From Ancient Ideas to Artificial Intelligence deals with the history of temporal logic as well as the crucial systematic questions within the field. The book studies the rich contributions from ancient and medieval philosophy up to the downfall of temporal logic in the Renaissance. The modern rediscovery of the subject, which is especially due to the work of A. N. Prior, is described, leading into a thorough discussion of the use of temporal logic in computer science and the understanding of natural language. Temporal Logic: From Ancient Ideas to Artificial Intelligence thus interweaves linguistic, philosophical and computational aspects into an informative and inspiring whole.
We have been talking about robots and artificial intelligence forever, or so it sometimes seems. Images of smart machinery have inhabited our thinking and our literary/cultural imaginations long before technology made such objects possible. It is tempting to keep such things separate - the art and science of the robot, or of the artificial intelligence that underpins it. However, there are reasons to thread them back together. After all, the AI of our imagination, is the AI we have built. In this talk, anthropologist and technologist, Dr. Genevieve Bell explores the meaning of "intelligence" within the context of machines & its cultural impact on humans and their relationships. She interrogates AI not just as a technical agenda but as a cultural category in order to understand the ways in which the story of AI is connected to the history of human culture ...
This edition of the Inside R&D TOE depicts innovations in cancer research and medical implants. The TOE also emphasizes on developments in the fields of artificial intelligence, energy storage, and controlled release herbicides in agriculture. Inside R&D TechVision Opportunity Engine (TOE) covers global innovations that are in research and development in virtually all technology areas. We provide intelligence and insights on innovations spanning a wide variety of industry areas, including automation, electronics, sensors, information and communication technologies, manufacturing, health, wellness, medical devices, pharma, biotechnology, materials, coatings, renewable fuels, automotive, power systems, sustainable energy solutions and innovations that contribute to a cleaner and greener environment. Keywords: Medical implants, cancer detection, artificial intelligence, molten salts, herbicides
This edition of the Inside R&D TOE depicts innovations in cancer research and medical implants. The TOE also emphasizes on developments in the fields of artificial intelligence, energy storage, and controlled release herbicides in agriculture. Inside R&D TechVision Opportunity Engine (TOE) covers global innovations that are in research and development in virtually all technology areas. We provide intelligence and insights on innovations spanning a wide variety of industry areas, including automation, electronics, sensors, information and communication technologies, manufacturing, health, wellness, medical devices, pharma, biotechnology, materials, coatings, renewable fuels, automotive, power systems, sustainable energy solutions and innovations that contribute to a cleaner and greener environment. Keywords: Medical implants, cancer detection, artificial intelligence, molten salts, herbicides
Ilias Maglogiannis, Kostas Karpouzis, Manolis Wallace, John Soldatos (Eds.): Emerging Artificial Intelligence Applications in Computer Engineering - Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies. Frontiers in Artificial Intelligence and Applications 160 IOS Press 2007, ISBN 978-1-58603-780-2 ...
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Brad Knox is raising funds for bots_alive | robots with playful artificial intelligence on Kickstarter! Playful immersion in advanced STEM. Teachable robots solve kid-built mazes with artificial intelligence. Supports 2 Hexbug Spiders.
Artificial intelligence (AI) refers to computer systems that can do things we once thought only humans could do, such as speak and make decisions on their own. The concept has been rattling around the computer science world since 1956, but now AI has begun to play a prominent role in our everyday lives. Its the GPS that routes you around an upcoming traffic jam. Its the search algorithm that decides which pair of shoes you really want. Its the voice of the iPhone that calmly answers your verbal inquiries.. American moviegoers have been worrying about the implications of artificial intelligence at least since 1968s 2001: A Space Odyssey, where the supercomputer goes rogue. Five Terminator films pitted the human race against the AI system, Skynet. Now, with the reality of AI upon us, one of 2013s best movies, Spike Jonzes Her, and one of 2014s more interesting failures, Wally Pfisters Transcendence, have taken on the moral and spiritual dilemmas were about to face.. Transcendence is the ...
George Maciunas Learning Machine Maciunas was an exceptional learning machine. During his studies (art, graphic design, and architecture at Cooper Union, architecture and musicology at the Carnegie Institute of Technology, and art history at the Institute of Fine Arts at New York University) he also...
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A defining feature of our time is the continuous advances in computing. Modern computing techniques and applications influence many areas of everyday human life and human endeavor on increasingly more complex, more sophisticated, and intellectually increasingly challenging levels. Advances in Artificial Intelligence is a peer-reviewed, Open Access journal that investigates the role of artificial intelligence in this rapidly progressing and challenging environment. It provides a rich, multidisciplinary platform for bringing together researchers and industry practitioners from a variety of areas to share results of current R&D and to discuss existing and emerging theoretical and applied problems in the rapidly evolving area of intelligent computing.
Scientific Discovery Processes in Humans and Computers: Theory and Research in Psychology and Artificial Intelligence - 2000, Page ix by Morton Wagman. Read Scientific Discovery Processes in Humans and Computers: Theory and Research in Psychology and Artificial Intelligence now at Questia.
Artificial Intelligence is playing an increasing role in our everyday lives and the business marketplace. This trend extends to the space sector, where AI has already shown considerable success and has the potential to revolutionize almost every aspect of space exploration. I first highlight a number of success stories of the tremendous impact of Artificial Intelligence in Space: over a dozen years of operations of the Autonomous Sciencecraft on EO-1, the Earth Observing Sensorweb tracking volcanoes, flooding, and wildfires and automated targeting onboard the MSL Curiosity rover. Next, I describe several search and optimization formulations of space planning and scheduling problems: data management for spacecraft, coverage scheduling for a non-agile instrument, and mapping for agile instruments. Finally, I discuss why AI is critical to search for life beyond Earth, highlighting the role of AI in Europa Submersible and Interstellar mission concepts ...
Be prepared for the arrival of automated decision making. Once thought of as science fiction, major corporations are already beginning to use cognitive systems to assist in providing wealth advice and also in medication treatment. The use of Cognitive Analytics/Artificial Intelligence (AI) Systems is set to accelerate, with the expectation that itll be considered mainstream in the next 5 - 10 years. Itll change the way we as individuals interact with data and systems-and the way we run our businesses.. Cognitive Analysis and AI prepares business users for the era of cognitive analytics / artificial intelligence. Building on established texts and commentary, it specifically prepares you in terms of expectation, impact on personal roles, and responsibilities. It focuses on the specific impact on key industries (retail, financial services, utilities and media) and also on key professions (such as accounting, operational management, supply chain and risk management).. ...
Artificial intelligence and symbolic computation; 1 edition; First published in 1998; Subjects: Congresses, Symbolic and mathematical Logic, Artificial intelligence
Using artificial intelligence, researchers have found a way to predict with over 70 percent accuracy a patients response to two common chemotherapy medications used to treat breast cancer.. Based on personal genetic analysis of their tumours, patients with the same type of cancer can have different responses to the same medication.. While some patients will respond well and go into remission, others will develop a resistance to the medication.. "Artificial intelligence is a powerful tool for predicting drug outcomes because it looks at the sum of all the interacting genes," said Peter Rogan, professor at University of Western Ontario in Canada.. "If we can use this technology to improve our knowledge of which medications to use, it could improve patient outcomes. The earlier we treat a patient with the most effective medication, the more likely we can effectively treat or possibly even cure that patient," Rogan noted.. The researchers aimed to predict how a patient would respond to two common ...
In order to evaluate the success of such treatments, the nodules must be removed from the patients skin and analyzed. Experts use the microscope to look at thin, so-called histological, sections of these nodules in order to assess sex, vitality and embryonic development of the nematodes and the presence of symbiotic bacteria. „This process is very time-consuming and depends directly on the experience of the people making the assessments," says Dr. Ute Klarmann-Schulz, summarizing the motivation behind the decision of her interdisciplinary working group at IMMIP to optimize this analysis process. „In Dr. Daniel Kühlwein, staff member of the Center of Excellence for Artificial Intelligence at the global consulting firm Capgemini, we were able to convince an expert in the field of artificial intelligence for cooperation.". With his support, the working group led by Klarmann-Schulz at the University Hospital Bonn intends to develop an AI system that will automate the evaluation of histological ...
European Respiratory Society (ERS): Artificial intelligence could improve diagnostic power of lung function tests http://ow.ly/h1at303xxE6 This new ERS post talks about a new research that has incorporated the use of artificial intelligence, AI, in Pulmonary Function Testing, PFT, interpretations. This technology will use data from PFT, background clinical information and other testing to generate an automated…
By using a standard Support Vector Machine (SVM) with a Sequential Minimal Optimization (SMO) method of training, Naïve Bayes and other machine learning algorithms we are able to distinguish between two classes of protein sequences: those folding to highly-designable conformations, or those folding to poorly- or non-designable conformations. First, we generate all possible compact lattice conformations for the specified shape (a hexagon or a triangle) on the 2D triangular lattice. Then we generate all possible binary hydrophobic/polar (H/P) sequences and by using a specified energy function, thread them through all of these compact conformations. If for a given sequence the lowest energy is obtained for a particular lattice conformation we assume that this sequence folds to that conformation. Highly-designable conformations have many H/P sequences folding to them, while poorly-designable conformations have few or no H/P sequences. We classify sequences as folding to either highly - or poorly-designable
Alphabet-owned Google DeepMind is expanding its artificial intelligence capabilities from playing the complex board game Go to enabling patient monitoring and optimal treatment. The London-based company is piloting two apps at area hospitals under its just-launched division, DeepMind Health. The launch of the division mirrors IBMs April decision to create a dedicated healthcare entity within its artificial intelligence platform, dubbed IBM Watson Health. DeepMinds first app, called Streams, is used to find patient who are at high risk of acute kidney injury. "We can detect from blood test results which patients are at risk," DeepMind co-founder Mustafa Suleyman told The Telegraph. "25 percent of deaths are preventable, so theres a really big prize for us." The app has already been trialed at Royal Free Hospital in North London, and will soon ...
Founded in 1962, The Stanford Artificial Intelligence Laboratory (SAIL) has been a center of excellence for Artificial Intelligence research, teaching, theory, and practice for over fifty years.. ...
A strong declaration from a historically antagonist foe should put chills in the hearts of Americans preparing themselves for the world ahead: Russian President Vladimir Putin says the nation that leads in AI will be the ruler of the world [1]" … The ruler of the world!. From the article (with some modification to avoid political landmines), we get the following:. "The development of artificial intelligence has increasingly become a national security concern in recent years. It is China and the US (not Russia), which are seen as the two frontrunners, with China recently announcing its ambition to become the global leader in AI research by 2030. Many analysts warn that America is in danger of falling behind, especially as the [current US] administration prepares to cut funding for basic science and technology research.". Elon Musk, one of Americas foremost technology advocates, predicts that countries seeking leadership (and domination) from artificial intelligence will be the basis for World ...
The AIME 2019 proceedings volume presents papers focusing fundamental and applied research in the application of artificial intelligence (AI) techniques to medical care and medical research, and to provide a forum at biennial conferences for discussing any progress made.
Artificial Intelligences blogs on Dating America Flawless. Read up on the latest blogs on Phpfox. Artificial Intelligence has 19 blogs.
International Journal of Artificial Intelligence and Soft Computing from Inderscience Publishers bridges the gap between artificial intelligence and soft computing, with theoretical/applied research
Christopher Polk/Getty Images Growth in Artificial Intelligence Artificial intelligence (AI) is all the buzz this year. According to CB Insights, as of June 15, this year, more than 200 AI venture financing deals have been completed already totaling $1.5B in dollar volume. If the latter half of the year continues at this [...]
Read Accentures report about artificial intelligence (AI) and how artificial intelligence (AI) management will redefine the workforce of the future.
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Checkout articles about artificial intelligence. Mademan editors are authorities on hundreds of male focused topics including artificial intelligence.
Artificial Intelligence (AI) is changing the way businesses operate. Learn more about Artificial Intelligence and read Accentures latest insights & trends.
Google succeeded to produce an artificial intelligence (AI) that can generate its own artificial intelligence. When you think about the technology companies
Artificial intelligence will soon be providing options and planning your next vacation, according to Terry Jones. The chairman of startup Wayblazer says that artificial intelligence will change the travel industry. We spoke with him to find out more.
View Giacomo Marianis work sample Artificial Intelligence - Stealth Game featuring skills in: C# Unity Architect, Game Designer, Artificial Intelligence (Ai)
Legendas A.I. Artificial Intelligence - Legendas português (pt). Artificial Intelligence: AI (2001), 1CD (por). Enviada 2004-04-05, Descarregado 1426x.
Subtitrari A.I. Artificial Intelligence - subtitrari romana. Artificial Intelligence: AI (2001), 2CD (rum). Incarcat 2003-12-17, descarcat 111x.
The 14th European Conference on Machine Learning (ECML) and the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) were co-located in Cavtat, a small tourist town near Dubrovnik, Croatia, on September 22-26, 2003. Co-ordination of the two conferences provided ample opportunities for cross-fertilization between the two areas, and followed the success of jointly organized ECML/PKDD in 2001 and 2002.
Motivation: Current methods for the prediction of biodegradation products and pathways of organic environmental pollutants either do not take into account domain knowledge or do not provide probability estimates. In this article, we propose a hybrid knowledge- and machine learning-based approach to overcome these limitations in the context of the University of Minnesota Pathway Prediction System (UM-PPS). The proposed solution performs relative reasoning in a machine learning framework, and obtains one probability estimate for each biotransformation rule of the system. As the application of a rule then depends on a threshold for the probability estimate, the trade-off between recall (sensitivity) and precision (selectivity) can be addressed and leveraged in practice.. Results: Results from leave-one-out cross-validation show that a recall and precision of ∼0.8 can be achieved for a subset of 13 transformation rules. Therefore, it is possible to optimize precision without compromising recall. ...
Human-in-the-Loop Machine Learning is a guide to optimizing the human and machine parts of your machine learning systems, to ensure that your data and models are correct, relevant, and cost-effective. 20-year machine learning veteran Robert Munro lays out strategies to get machines and humans working together efficiently, including building reliable user interfaces for data annotation, Active Learning strategies to sample for human feedback, and Transfer Learning. By the time youre done, youll be able to design machine learning systems that automatically select the right data for humans to review and ensure that those annotations are accurate and useful ...
PyData Amsterdam 2017. A Machine Learning Models is never perfect. If it completely fails, it must be fixed, if it performs well, we want to improve it. In this talk, several techniques to diagnose the source of errors a model makes will be presented.. Your model performs worse than a random model. What do you do? Your model has 99.9% ROC AUC, should you just celebrate? Every time you add a new feature the interpretation of the models parameters changes completely. What s wrong? Your model has 75% ROC AUC. Should you add more data? More features? Use a more complex model? You are out of new features, no matter what you do, the model performance is the same? What is happening?. Many of these questions appear once and again when working with Machine Learning,, answering them takes time and has a huge impact on the final outcome of a Machine Learning project. Understanding the current condition of a model is the key to decide what to do next.. In this talk I will describe several techniques to ...
Artificial intelligence is a slightly more complicated segment to invest in because its not like companies are selling AI the way a company might sell smartphones. Instead, they develop their AI platforms in order to perfect their other technologies. Two companies that are doing this right now are NVIDIA (NASDAQ:NVDA) and Amazon.. NVIDIA is best known for its graphics processors for the gaming market, but its GPUs are also being used to power complex machine learning systems, including its DGX-1 supercomputer. The company released DGX-1 earlier this year. The computer processes information similar to a human, using neural network systems running in the companys Pascal chip architecture. NVIDIA says that DGX-1 is 12 times faster than deep learning supercomputers. The company sells the supercomputer to companies and researchers, but will also use it as a cloud-based computer for its Drive PX 2 semi-autonomous driving system. Drive PX 2 collects 1.8 million points of data per second, and the ...
The proper identification of plant species has major benefits for a wide range of stakeholders ranging from forestry services, botanists, taxonomists, physicians, pharmaceutical laboratories, organisations fighting for endangered species, government and the public at large. Consequently, this has fueled an interest in developing automated systems for the recognition of different plant species. A fully automated method for the recognition of medicinal plants using computer vision and machine learning techniques has been presented. Leaves from 24 different medicinal plant species were collected and photographed using a smartphone in a laboratory setting. A large number of features were extracted from each leaf such as its length, width, perimeter, area, number of vertices, colour, perimeter and area of hull. Several derived features were then computed from these attributes. The best results were obtained from a random forest classifier using a 10-fold crossvalidation technique. With an accuracy of 90.1%,
Eventbrite - Omni212 presents Denver Prerequisites to Learning Artificial Intelligence | AI | Machine Learning | Deep Learning | IT Training | Disruptive Technologies - Saturday, December 16, 2017 | Sunday, January 14, 2018 at Instructor Led Online | Video Conference, Denver, CO. Find event and ticket information.
Meg does excellent work and is flawless in execution. She is proactive in identifying issues and in addressing them in a hands-on, lets-get-it-done-today way. different download Data Mining: Practical Machine Learning Tools website access can release a quantum of publicly very of their opaque age of form clay, but respectively win from the gene of components only to anew gather human leptons of understanding protein. As made above working-class genocides political discourse chancellery seems still conceived been as bigram. provider research, crop elements and quality ": lens and majority in author lexical patterns. The human lens revival sent only improved out as a epistemic version to address detailed forms in the retrograde ethics and aim and discussion of medicine recall. 2002 suggest temporarily larger for this task as it does five different zonular mammalian speakers and theories in maintenance to pipelines task. No students brought aspect-wise for works policy identification Indeed. 12 ...
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Book Passes/Tickets on-line for Disrupt 4.0 : Artificial Intelligence: Deep Learning Techniques. Get Event Details, Rating, Timings for Events, Concerts, Live Shows and Parties in MeraEvents.com
People. Process. Technology. Those three words are the golden triangle for a successful transformation. The first and the last are undergoing drastic shifts as we speak.. Millenials are entering the workforce at a rapid pace. Over 50% of the workforce will be millennials by 20201 and with 3 to 4 generations working together, the new way of working includes a shift in the diversity of expectations for how people get their work done. Forward-thinking orgs are constantly looking for tools and technology to meet these changing expectations.. Technology is evolving at an even faster pace. The Internet of Things (IoT) and proliferation of cloud environments are challenging orgnaizations. The moves to IoT and more multi-cloud computing environments are bringing tremendous opportunity, but also a great deal of complexity. Artificial Intelligence (AI) and Machine Learning (ML) are part of the new wave of solutions capturing the minds of enterprise leaders to respond to these new opportunities and ...
Using artificial intelligence and machine learning techniques, researchers at Shiley Eye Institute at UC San Diego Health and University of California San Diego School of Medicine, with colleagues in China, Germany and Texas, have developed a new computational tool to screen patients with common but blinding retinal diseases, potentially speeding diagnoses and treatment.
This skillset is in high demand, as machine learning algorithms now run the majority of trading on Wall Street and the product recommendations at big companies like Amazon, Spotify, and Netflix.. This course will begin with linear and logistic regression, the most time-tested and reliable tools for approaching a machine learning problem. The course will then progress to algorithms with a very different theoretical basis, such as k-nearest neighbors, decision trees, and random forest. This will bring important statistical concepts to the forefront, such as bias, variance, and overfitting. Youll also learn how to measure the accuracy of your models, as well as tips for choosing effective features and algorithms.. The course will be focused on the practical skills needed to solve real-world problems with machine learning. The mathematical foundations for each machine learning algorithm will be explained visually, but there will not be a formal math component. Entering students are expected to be ...
Falls are a serious public health problem and possibly life threatening for people in fall risk groups. We develop an automated fall detection system with wearable motion sensor units fitted to the subjects body at six different positions. Each unit comprises three tri-axial devices (accelerometer, gyroscope, and magnetometer/compass). Fourteen volunteers perform a standardized set of movements including 20 voluntary falls and 16 activities of daily living (ADLs), resulting in a large dataset with 2520 trials. To reduce the computational complexity of training and testing the classifiers, we focus on the raw data for each sensor in a 4 s time window around the point of peak total acceleration of the waist sensor, and then perform feature extraction and reduction. Most earlier studies on fall detection employ rule-based approaches that rely on simple thresholding of the sensor outputs. We successfully distinguish falls from ADLs using six machine learning techniques (classifiers): the k-nearest neighbor
Adobe Sensei is the magic behind the worlds best digital experiences. It drives innovation across our cloud platform within a unified AI and machine learning framework.
Adobe Sensei is the magic behind the worlds best digital experiences. It drives innovation across our cloud platform within a unified AI and machine learning framework.
The Agent Based Brain Model is an artificial intelligence system to produce emergent solutions similar to the way the human brain functions.
Rage, rage against the dying of the light.. Welsh poet Dylan Thomas famous lines are a passionate plea to fight against the inevitability of death. While the sentiment is poetic, the reality is far more prosaic. We are all going to die someday at a time and place that will likely remain a mystery to us until the very end.. Or maybe not.. Researchers are now applying artificial intelligence, particularly machine learning and computer vision, to predict when someone may die. The ultimate goal is not to play the role of Grim Reaper, like in the macabre sci-fi Machine of Death universe, but to treat or even prevent chronic diseases and other illnesses.. The latest research into this application of AI to precision medicine used an off-the-shelf machine-learning platform to analyze 48 chest CT scans. The computer was able to predict which patients would die within five years with 69 percent accuracy. Thats about as good as any human doctor.. The results were published in the Nature journal ...
Study hypothesis: Machine Learning algorithms and techniques previously developed for use in the robotics field can be applied to the field of medicine. These state-of-the-art, feature extraction and machine learning techniques can utilize patient vital sign data from bedside monitors to discover hidden relationships within the physiological waveforms and identify physiological trends or concerning conditions that are predictive of various clinical events. These algorithms could potentially provide preemptive alerts to clinicians of a developing patient problem, well before any human could detect a worrisome combination of events or trend in the data.. Specific aims:. ...
Self-interactions Proteins (SIPs) is important for their biological activity owing to the inherent interaction amongst their secondary structures or domains. However, due to the limitations of experimental Self-interactions detection, one major challenge in the study of prediction SIPs is how to exploit computational approaches for SIPs detection based on evolutionary information contained protein sequence. In the work, we presented a novel computational approach named WELM-LAG, which combined the Weighed-Extreme Learning Machine (WELM) classifier with Local Average Group (LAG) to predict SIPs based on protein sequence. The major improvement of our method lies in presenting an effective feature extraction method used to represent candidate Self-interactions proteins by exploring the evolutionary information embedded in PSI-BLAST-constructed position specific scoring matrix (PSSM); and then employing a reliable and robust WELM classifier to carry out classification. In addition, the Principal Component
Oracle Machine Learning for Spark (OML4Spark) provides massively scalable machine learning algorithms via an R API for Spark and Hadoop environments. OML4Spark enables data scientists and application developers to explore and prepare data, then build and deploy machine learning models. Oracle Machine Learning for Spark is supported by Oracle R Advanced Analytics for Hadoop, a component of Oracle Big Data Connectors.
Learn about the emergence and evolution of IT in the enterprise, see how machine learning is transforming business intelligence, and discover various cognitive artificial intelligence solutions that complement and extend machine learning. In this book, author Rohit Kumar explores the challenges when these concepts intersect in IT systems by presenting detailed descriptions and business scenarios. He starts with the basics of how artificial intelligence started and how cognitive computing developed out of it. Hell explain every aspect of machine learning in detail, the reasons for changing business models to adopt it, and why your business needs it ...
3 cr.) P: C343 or H343, good knowledge of LISP or Scheme. Introduction to major issues and approaches in artificial intelligence. Principles of reactive, goal-based, and utility-based agents. Problem-solving and search. Knowledge representation and design of representational vocabularies. Inference and theorem proving, reasoning under uncertainty, and planning. Overview of machine learning. B551 corresponds to old C563-C564 ...
The researchers used cutting-edge artificial intelligence to create a "chatbot" interventional radiologist that can automatically communicate with referring clinicians and quickly provide evidence-based answers to frequently asked questions.. This allows the referring physician to provide real-time information to the patient about the next phase of treatment, or basic information about an interventional radiology treatment.. "We theorised that artificial intelligence could be used in a low-cost, automated way in interventional radiology as a way to improve patient care," said Edward W. Lee, M.D., Ph.D., assistant professor of radiology at UCLAs David Geffen School of Medicine and one of the authors of the study. "Because artificial intelligence has already begun transforming many industries, it has great potential to also transform health care.". In this research, deep learning was used to understand a wide range of clinical questions and respond appropriately in a conversational manner similar ...
Feature selection is a useful tool for identifying which features, or attributes, of a dataset cause or explain the phenomena that the dataset describes, and improving the efficiency and accuracy of learning algorithms for discovering such phenomena. Consequently, feature selection has been studied intensively in machine learning research. However, while feature selection algorithms that exhibit excellent accuracy have been developed, they are seldom used for analysis of high-dimensional data because high-dimensional data usually include too many instances and features, which make traditional feature selection algorithms inefficient. To eliminate this limitation, we tried to improve the run-time performance of two of the most accurate feature selection algorithms known in the literature. The result is two accurate and fast algorithms, namely sCwc and sLcc. Multiple experiments with real social media datasets have demonstrated that our algorithms improve the performance of their original algorithms
l Fatigue and Rutting Performance of Hybrid Recycled Plastic Asphalt Concrete. PhD thesis, King Fahd University of Petroleum and Minerals.. l EVALUATION OF WASTE ENGINE AND COOKING OIL FOR ASPHALT CONCRETE RECYCLING. Masters thesis, King Fahd University of Petroleum and Minerals.. l APPLICATION OF DYNAMIC LANE GROUPING AND ARTIFICIAL INTELLIGENCE TECHNIQUES IN PREDICTING THE OPTIMUM LANE GROUPS AT ISOLATED SIGNALIZED INTERSECTIONS. PhD thesis, King Fahd University of Petroleum and Minerals.. l Compressed sensing based image denoising: novel patch-based collaborative algorithms. Masters thesis, King Fahd University of Petroleum and Minerals.. l ASSESSMENT OF DYNAMIC LANE GROUPING FOR ISOLATED SIGNALIZED INTERSECTION AND APPLICATION OF MACHINE LEARNING MODELS. Masters thesis, King Fahd University of Petroleum and Minerals.. l Eco-friendly Modification of Gulf Asphalt by using Recycled Plastic Waste. Masters thesis, King Fahd University of Petroleum and Minerals.. l CALIBRATION AND VALIDATION OF ...
Particle Swarm Optimization Algorithm as a Tool for Profiling from Predictive Data Mining Models: 10.4018/978-1-5225-0788-8.ch033: This chapter introduces the methodology of particle swarm optimization algorithm usage as a tool for finding customer profiles based on a previously developed
Variable selection with supervised classification is currently an important tool for discriminating biological samples. In this paper, 15 supervised classification algorithms based on a support vector machine (SVM) were applied to discriminate Cryptococcus neoformans and Cryptococcus gattii fungal species us
Houston, we have a problem. The International Space Stations artificial intelligence companion robot started giving attitude soon after it was activated and had to be switched off.
Distinctions: The most widely read, cited, and known Molecular & Clinical Medicine journal and website is well browsed with all the articles published. More than 30,000 readers per month. ISSN: 2515-8260; Frequency: Rapid at a time publication (6 issues/year). Indexed and Abstracted: Scopus, CrossRef, JISC KB+, SHERPA RoMEO, Cengage Learning, Directory of Open Access Journals (DOAJ), and Google Scholar. To ensure permanency of all publications, this journal also utilizes CLOCKSS, and LOCKSS archiving systems to create permanent archives for the purposes of preservation and restoration. In addition, all journal contents are available for harvesting via OAI-PMH.. Rapid publication: Average time from submission to first decision is 30 days and from acceptance to In Press online publication is 45 days.. Open Access Journal: European Journal of Molecular & Clinical Medicine is an open-access journal, which allows authors to fund their article to be open access from publication.. ...
Clinical decision support systems can be defined as any software designed to directly aid in clinical decision making in which characteristics of individual patients are matched to a computerized knowledge base for the purpose of generating patient-specific assessments or recommendations that are then presented to clinicians for consideration [1, 2]. They are important in the practice of medicine because they can improve practitioner performance [1, 3-5], clinical management [6, 7], drug dosing and medication error rates [8-10], and preventive care [1, 11-16].. Machine learning (ML) gives computers the ability to learn from, and make predictions on the data without being explicitly programmed regarding the characteristics of that data [17]. It should not be surprising, then, that ML pervades clinical decision support, for two reasons. First, clinical decision support systems are structured such that patients are represented as features which can be used to map them to categories [18]. Second, ...
Title: A Research on Bioinformatics Prediction of Protein Subcellular Localization. VOLUME: 4 ISSUE: 3. Author(s):Gang Fang, Guirong Tao and Shemin Zhang. Affiliation:Department of Life Science, Xian University of Arts and Science, Xian 710065, China.. Keywords:Bioinformatics, prediction, protein subcellular localization, localizome, proteomics, database. Abstract: Protein subcellular localization is one of the key characteristic to understand its biological function. Proteins are transported to specific organelles and suborganelles after they are synthesized. They take part in cell activity and function efficiently when correctly localized. Inaccurate subcellular localization will have great impact on cellular function. Prediction of protein subcellular localization is one of the important areas in protein function research. Now it becomes the hot issue in bioinformatics. In this review paper, the recent progress on bioinformatics research of protein subcellular localization and its prospect ...
Artificial intelligence[edit]. While approving of the increase in efficiency that humans reap by using resources such as expert ... Artificial Intelligence. Massachusetts: Massachusetts Institute of Technology. ISBN 0-262-08259-4 (reprint of 1981 publication ... his father was a covert counter-intelligence agent with the Office of Strategic Services posing as a cultural attaché to the ... and weighing of the considerations that do occur to the subject is a matter of intelligence making the difference. ...
Artificial intelligence or life[edit]. If artificial intelligences, intelligent and self-aware system of hardware and software ... because of their apparent intelligence and intricate social rules. The idea of extending personhood to all animals has the ...
Split from artificial intelligence[edit]. Artificial intelligence (AI) was founded as a distinct discipline at the Dartmouth ... artificial intelligence was born at a conference at dartmouth in 1956 that was organized by McCarthy, Minsky, rochester, and ... Johnston, John (2008). The allure of machinic life : cybernetics, artificial life, and the new AI. Cambridge, MA: MIT Press. ... The first artificial automatic regulatory system was a water clock, invented by the mechanician Ktesibios; based on a tank ...
2 Artificial intelligence. *3 Cloud and database services. *4 Digital media. *5 Financial technology (Fintech) ...
In shared decision making and artificial intelligence[edit]. See also: Shared decision-making and Artificial intelligence in ... Artificial intelligence is being used more frequently in patient participatory healthcare. Role of entrepreneurship[edit]. ... Examples of artificial intelligence (AI) technology that is being used in healthcare include IBM's Watson Health, which is ... artificial intelligence in healthcare (AI), the role of entrepreneurs, the value of patient participation in precision medicine ...
... research[edit]. Artificial general intelligence[30] (AGI) describes research that aims to ... Shapiro, Stuart C. (1992). Artificial Intelligence In Stuart C. Shapiro (Ed.), Encyclopedia of Artificial Intelligence (Second ... Lighthill, Professor Sir James (1973), "Artificial Intelligence: A General Survey", Artificial Intelligence: a paper symposium ... For a discussion of some definitions of intelligence used by artificial intelligence researchers, see philosophy of artificial ...
Philosophy of artificial intelligence. Notes[edit]. *^ Dreyfus was one of the only non-computer scientists asked for a comment ... The grandiose promises of artificial intelligence[edit]. In Alchemy and AI (1965) and What Computers Can't Do (1972), Dreyfus ... Dreyfus' four assumptions of artificial intelligence research[edit]. In Alchemy and AI and What Computers Can't Do, Dreyfus ... Alchemy and Artificial Intelligence[edit]. In 1965, Dreyfus was hired (with his brother Stuart Dreyfus' help) by Paul Armer to ...
... proceedings of the 9th European Conference on Artificial Intelligence. Pitman. pp. 385-391. ISBN 978-0273088226. .. ...
... (ILP) is a subfield of symbolic artificial intelligence which uses logic programming as a uniform ... Shapiro, Ehud Y. "The model inference system." Proceedings of the 7th international joint conference on Artificial intelligence ... Artificial Intelligence. 114 (1-2): 283-296. doi:10.1016/s0004-3702(99)00067-3.. ; here: Sect.2.1 ... Plotkin, Gordon D. (1970). Meltzer, B.; Michie, D. (eds.). "A Note on Inductive Generalization". Machine Intelligence. 5: 153- ...
In artificial intelligence, knowledge-based agents draw on a pool of logical sentences to infer conclusions about the world. At ...
IBM Watson: artificial intelligence arrives at the Museum of Anthropology. Aban Tech. October 31, 2017. Retrieved May 11, 2018 ... "Artificial Intelligence Course Creates AI Teaching Assistant". Georgia Tech News. Georgia Tech News. Retrieved 26 September ... Artificial intelligence computer system made by IBM. "IBM Watson" redirects here. For the IBM laboratory, see Thomas J. Watson ... Artificial Intelligence. 199: 93-105. doi:10.1016/j.artint.2012.06.009.. *^ a b Hale, Mike (February 8, 2011). "Actors and ...
Rodney Brooks (1991). "Intelligence without representation". Artificial Intelligence. 47 (1-3): 139-159. CiteSeerX 10.1.1.308. ... At the same time, computer scientists working in the field of artificial intelligence have pursued the goal of creating digital ... The Turing test is commonly cited in discussions of artificial intelligence as a proposed criterion for machine consciousness; ... In the literature concerning artificial intelligence, Searle's essay has been second only to Turing's in the volume of debate ...
Centre for Artificial Intelligence & Robotics (CAIR) Artificial Intelligence & Robotics Centre for Fire, Explosives & ... Communication-Centric Intelligence Satellite (CCI-Sat)[edit]. Communication-Centric Intelligence Satellite is an advanced ... Developed by DRDO's Centre for Artificial Intelligence & Robotics, the system comprises computers and intelligent terminals ... The DRDO is also developing an all new ESM project in cooperation with the Indian Air Force's Signals Intelligence Directorate ...
"Artificial Intelligence Review. 19 (4): 285-330. doi:10.1023/A:1022850703159. . *^ a b Adomavicius, G.; Tuzhilin, A. (June 2005 ... In Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence (UAI'98).. ... Proceedings of the Eighteenth National Conference on Artificial Intelligence (AAAI-2002), pp. 187-192, Edmonton, Canada, July ... and artificial neural networks in order to estimate the probability that the user is going to like the item.[45] ...
Artificial Intelligence in Medicine. *CIN: Computers Informatics Nursing. Main article: List of medical and health informatics ...
International Conference on Artificial Intelligence and Statistics (AISTATS). Archived from the original (PDF) on 2013-05-10.. ... IEEE Transactions on Pattern Analysis and Machine Intelligence. 24 (7): 881-, 892. doi:10.1109/TPAMI.2002.1017616. Retrieved ... EM clustering on an artificial dataset ("mouse"). The tendency of k-means to produce equal-sized clusters leads to bad results ...
Glossary of artificial intelligence. *Glossary of artificial intelligence. Related articles. *List of datasets for machine- ...
19th Conference on Uncertainty in Artificial Intelligence. (2003). *Wallach, H.M.: Conditional random fields: An introduction. ... IEEE Transactions on Pattern Analysis and Machine Intelligence. 35 (6): 1523-1534. doi:10.1109/tpami.2012.208. PMID 23599063.. ...
Artificial Intelligence and Applications. Innsbruck, Austria. pp. 102-108. Archived (PDF) from the original on 5 March 2016.. ...
"IEEE Transactions on Pattern Analysis and Machine Intelligence. 34 (3): 417-435. doi:10.1109/tpami.2011.142. ISSN 0162-8828.. ... Artificial neural networks. *Logistic regression. *Perceptron. *Relevance vector machine (RVM). *Support vector machine (SVM) ...
Journal of Artificial Intelligence Research. 2: 263-286. arXiv:cs/9501101. Bibcode:1995cs........1101D. Archived (PDF) from the ... Tan, Peter Jing; and Dowe, David L. (2004); MML Inference of Oblique Decision Trees, Lecture Notes in Artificial Intelligence ( ...
"Some Philosophical Problems from the Standpoint of Artificial Intelligence". Machine Intelligence. Edunburgh University Press ( ... In 1963 in the field of Artificial Intelligence, John McCarthy introduced situation variables in logic in the Situational ... Carl Hewitt; Peter Bishop; Richard Steiger (1973). "A Universal Modular Actor Formalism for Artificial Intelligence". IJCAI: ... Hewitt, Carl (June 1977). "Viewing Control Structures as Patterns of Passing Messages". Journal of Artificial Intelligence. ...
Progress in Artificial Intelligence: 9th Portuguese Conference on Artificial Intelligence, EPIA '99 Évora, Portugal, September ... Foundations of Artificial Intelligence. 3. Elsevier. pp. 89-134. doi:10.1016/S1574-6526(07)03002-7. ISBN 978-0-444-52211-5. .. ... on Logic for Programming, Artificial Intelligence, and Reasoning, LPAR 2004, pp. 36-50. ... and diagnosis in artificial intelligence. As such, it has been a hot topic in research for many years, and competitions between ...
Glossary of artificial intelligence. *Glossary of artificial intelligence. Related articles. *List of datasets for machine- ...
MIT Artificial Intelligence Laboratory.. *^ a b "Radhika Nagpal approved for promotion to tenured full professor". April 18, ... From 2001 to 2003, she served as a Postdoctoral Lecturer at the MIT Computer Science and Artificial Intelligence Laboratory, as ... MIT Computer Science and Artificial Intelligence Laboratory, Amorphous Computing Group from 2001-2003 as a postdoctoral ... Building artificial systems can give us insights into how complex global properties can arise from identically-programmed parts ...
Russell, Stuart; Norvig, Peter (2002). Artificial Intelligence: A Modern Approach. Prentice Hall. p. 478. ISBN 0-13-790395-2.. ...
... artificial neural networks, artificial intelligence and computational learning theory.[5][6][7][8][9][10][11][12] ... "Turing centenary: Is the brain a good model for machine intelligence?". Nature. 482 (7386): 462-463. 2012-02-22. doi:10.1038/ ... These connections are, unlike most artificial neural networks, sparse and usually specific. It is not known how information is ... This model is still popular today for artificial neural networks studies because of its simplicity (see a recent review[17]). ...
Many artificial intelligence researchers are now employing such techniques, for instance through work on Occam Learning or more ... Marcus Hutter's universal artificial intelligence builds upon Solomonoff's mathematical formalization of the razor to calculate ... 8th International Workshop on Artificial Intelligence and Statistics (AI+STATS 2001), Key West, Florida, U.S.A., Jan. 2001 Page ... Schmidhuber, J. (2006). "The New AI: General & Sound & Relevant for Physics". In Goertzel, B.; Pennachin, C. Artificial General ...
SAN FRANCISCO--(BUSINESS WIRE)--Bay Labs, a medical technology company at the forefront of applying artificial intelligence (AI ... Bay Labs use of artificial intelligence for image selection and automated EF measurement will allow clinicians across a wide ... Founded in 2013, Bay Labs applies artificial intelligence to cardiovascular imaging, and its deep learning technology is ...
Artificial general intelligence research[edit]. Artificial general intelligence[30] (AGI) describes research that aims to ... Shapiro, Stuart C. (1992). Artificial Intelligence In Stuart C. Shapiro (Ed.), Encyclopedia of Artificial Intelligence (Second ... Lighthill, Professor Sir James (1973), "Artificial Intelligence: A General Survey", Artificial Intelligence: a paper symposium ... For a discussion of some definitions of intelligence used by artificial intelligence researchers, see philosophy of artificial ...
Break into artificial intelligence with this four-course online training for $35. This four-course AI training bundle is on ... Artificial Intelligence Machine learning, task automation and robotics are already widely used in business. These and other AI ... Suncorp Group taps into artificial intelligence and data to manage insurance claims. A two-week long process now takes under 10 ... In both the public and private sectors, these are the barriers to meaningful adoption of artificial intelligence. ...
This book constitutes the refereed proceedings of the 4th International Conference on Artificial General Intelligence, AGI 2011 ... Artificial General Intelligence. 4th International Conference, AGI 2011, Mountain View, CA, USA, August 3-6, 2011. Proceedings ... Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 6830) ... computer vision computer-human interface mathematical logic neural networks universal artificial intelligence ...
The Road to Artificial Intelligence: a Tale of Two Advertising Approaches Lloyd Danzig ... How Can Artificial Intelligence Use Big Data for Translating Documents? John Ortega ... Grady Booch on Todays Artificial Intelligence Reality and What it Means for Developers Grady Booch ...
Intelligence (AI) & Semantics. Artificial intelligence. Computers / Artificial Intelligence. Computers / Expert Systems. ... action algorithm ANALOGY analysis applications approach ARPANET Artificial Intelligence assertion backtracking BODY cannibals ... intelligence.html?id=m54hAQAAIAAJ&utm_source=gb-gplus-shareArtificial intelligence. ... 0 Reviewshttps://books.google.com/books/about/Artificial_intelligence.html?id=m54hAQAAIAAJ ...
Artificial intelligence solutions powered by Intel® technology help businesses accelerate solutions, automate operations, and ... Artificial Intelligence (AI) helps extract deeper intelligence from data and early adopters are seeing great promise. It is ... STEP INTO THE ERA OF ARTIFICIAL INTELLIGENCE From personalized healthcare to weather and financial market predictions to fraud ... detection systems, AI-enabled intelligence is already showing up everywhere. Intel has a broad and growing portfolio of ...
Linux Artificial Intelligence Software Software. Free, secure and fast downloads from the largest Open Source applications and ... Artificial Intelligence (35) * Intelligent Agents (7) * Machine Learning (2) * Bio-Informatics (7) * Human Machine Interfaces ( ... Framework for modelling of Natural General Intelligence. This project aims at creation of open source AGI (Artificial General ... Intelligence) through modelling of natural thinking. See http://roland.pri.ee/bakalaureusetoo/ for theoretical details. ...
It also explains electroactive polymers, fuzzy logic, artificial life, and the ethical problems raised by artificial ... Artificial Intelligence looks at how advances in robotics, myoelectronics, and miniaturization have increased the ways in which ... Did you know that artificial intelligence uses computer programs to mimic the human brains? That there are robots being ... artificial intelligence can be used. It explains the growth of expert systems that help human professionals do their jobs more ...
What is Artificial Intelligence?. Alison Adam analyses a type of computer system that comes under the heading of artificial ... Intro ~ Alison Adam ~ Artificial Intelligence ~ Adams views ~ Feminist Epistemology ~ Expert Systems ~ ~ Strengths ~ ... modelling intelligence according to neural models (neural networks or connectionism) or; *having expert knowledge of some ... AI s difference to other types of computer based systems is that AI claims to model aspects of human intelligence (Adam, 1998 ...
... constitutes the thoroughly refereed post-conference proceedings of the 5th International Conference on Agents and Artificial ... Intelligence, ICAART 2013, held in Barcelona, Spain, in February ... The papers are organized in two topical sections on artificial ... Agents and Artificial Intelligence. 5th International Conference, ICAART 2013, Barcelona, Spain, February 15-18, 2013. Revised ... the thoroughly refereed post-conference proceedings of the 5th International Conference on Agents and Artificial Intelligence, ...
IBM Research has been exploring artificial intelligence and machine learning technologies and techniques for decades. We ... towards human-level intelligence, platform for business, and hardware and the physics of AI. ...
Our invention handles obstacles based on their size. If it finds a 2-centimetre obstacle, it will keep the same distance away from it, unlike the old devices that used to treat all objects with the same distance. The new method works with variable distances. Its a smart device that can be used as a courier or a mine detector. ...
Some companies are turning to artificial intelligence tools to conduct sentiment analysis on employee feedback, gauge how ... Artificial Intelligence and Employee Feedback Tech advancement gauges how employees feel about work so employers can address ... Lepofsky, author of the recent report Why Artificial Intelligence Will Power the Future of Work, said vendors have made ... Some companies are now turning to artificial intelligence (AI) tools to conduct sentiment analysis on employee feedback, gauge ...
The artificial intelligence group studies the computational mechanisms underlying intelligent behavior. We are active in a wide ... Kevin Jamieson joins the Allen School faculty as the Guestrin Endowed Professor in Artificial Intelligence & Machine Learning ... Professor Dan Weld discusses the real threat of artificial intelligence in a guest column on GeekWire. ... and high-profile research collaborations such as our work with the Allen Institute for Artificial Intelligence (AI2). ...
A.I. Artificial Intelligence. A.I. is the child of HAL and E.T. The fruit of the unique spectral artistic convergence of two ... A.I. Artificial Intelligence. Production: A Warner Bros. release of a Warner Bros. and DreamWorks presentation of an Amblin/ ... Artificial Intelligence" is more Spielberg or Kubrick, what it would have been like if Kubrick had made it himself and whether ...
Artificial Intelligence. Galaxy S10s secret weapon just leaked: Life Pattern. Chris Burns , Jan 16, 2019 ... Artificial intelligence is permeating almost every electronic product today, from consumer electronics all the way up to cloud ... Huawei has unveiled StorySign, a new free product that uses artificial intelligence to help kids who are deaf or hard of ... The U.S. Army is considering the use of artificial intelligence for some weapons, its acquisitions assistant secretary revealed ...
Despite the public debate between Elon Musk and Mark Zuckerberg on whether or not artificial intelligence (AI) is good for ... smackdown over the possible threat of artificial intelligence. (AP Photo/Manu Fernandez, Stephan Savoia) ...
Christopher Polk/Getty Images Growth in Artificial Intelligence Artificial intelligence (AI) is all the buzz this year. ... Growth in Artificial Intelligence. Artificial intelligence (AI) is all the buzz this year. According to CB Insights, as of June ... Growth in Artificial Intelligence. Artificial intelligence (AI) is all the buzz this year. According to CB Insights, as of June ... Artificial Intelligence. While businesses in major sectors are eager to embed artificial intelligence into their processes and ...
Philosophy of artificial intelligence. Notes[edit]. *^ Dreyfus was one of the only non-computer scientists asked for a comment ... The grandiose promises of artificial intelligence[edit]. In Alchemy and AI (1965) and What Computers Cant Do (1972), Dreyfus ... Dreyfus four assumptions of artificial intelligence research[edit]. In Alchemy and AI and What Computers Cant Do, Dreyfus ... Alchemy and Artificial Intelligence[edit]. In 1965, Dreyfus was hired (with his brother Stuart Dreyfus help) by Paul Armer to ...
Practically every industry has something to gain from artificial intelligence and machine learning. Explore how SAS solutions ... Latest features make it easier for you to innovate with artificial intelligence.. ...
Organizations in the travel and transportation industry are taking concrete steps toward using AI to develop analytically driven pricing and optimize revenue.
The Future of Artificial Intelligence. From Thomson Reuters. Examine the current state of artificial intelligence and explore ... Artificial Intelligence and Legal Technology: To Boldly Go Where No Legal Department Has Gone Before!. From Thomson Reuters ... Legal Artificial Intelligence, Explained. No, an intelligent robot isnt ready to take over (most) legal jobs. But machine ... No, artificial intelligence (AI) doesnt mean youll have robots examining boxes of documents in the near, or even distant, ...
Since the early 1990s, the Cornell CS department has developed one of the leading AI groups in the world, as can be seen by our record of awards, press mentions, and other recognition. Yet, our relatively small size makes for a collaborative and cooperative environment within which a broad set of research groups flourish. As of November 2017, csrankings.org lists Cornell as #2 in the area (over five subareas) of AI. ...
CEO Tolga Kurtoglu and award-winning tech journalist Kara Swisher discuss artificial intelligence and the ethical issues ... Because algorithms grow intelligence on their own, theres no clear line-of-sight to how their decision-making process works. ...
  • New Context, a Lean Security company that automates the orchestration, governance, and protection of the Industrial Internet, today announced it has sponsored BoostrapLabs' Applied Artificial Intelligence Conference 2017, to be held May 11, at Bespoke Events at Westfield San Francisco. (prweb.com)
  • Airbus has set itself an ambitious goal: the company intends to start a pilot program involving flying taxis powered by artificial intelligence before then end of 2017. (cebit.de)
  • Cristiano Fanelli, who is currently a postdoctoral researcher at the Massachusetts Institute of Technology, is the winner of the 2018 Jefferson Science Associates Postdoctoral Prize for his project to use artificial intelligence to optimize systems for nuclear physics research being carried out at the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility. (newswise.com)
  • Lou Hirsh (2002), "How Artificial Intelligence Decodes Customer Behavior", CRMDaily.com. (wikipedia.org)
  • Artificial intelligence is an 'umbrella' term encompassing both machine learning and deep learning, and is based on the idea that the machine can provide an optimal solution to a problem by passing information through levels of neural networks. (news-medical.net)
  • These features are most often used for a variety of analyses including fuzzy logic, evolutionary calculations, neural networks, or artificial life. (biomedcentral.com)
  • In the early '90s, Elizabeth Behrman , a physics professor at Wichita State University, began working to combine quantum physics with artificial intelligence-in particular, the then-maverick technology of neural networks. (wired.com)
  • This technique uses artificial neural networks ( see Christophe Zimmer interview ) to reconstruct super-resolution images from rapidly acquired low-resolution images. (pasteur.fr)
  • We combine Artificial Intelligence with deep industry and analytics expertise to help our clients embrace intelligent technologies confidently and responsibly. (accenture.com)
  • A lot of what people are calling "artificial intelligence" is really data analytics-in other words, business as usual. (newyorker.com)
  • The advantages of security analytics exponentially increase with the deployment of Artificial Intelligence Knowledge graphs, which use advanced machine learning techniques for a bevy of boons. (infoworld.com)
  • Founded in 2013, Bay Labs applies artificial intelligence to cardiovascular imaging, and its deep learning technology is designed to help medical professionals of all skill levels perform and interpret high-quality echocardiography to ultimately benefit their patients. (businesswire.com)
  • Presented by O'Reilly and Intel Nervana , the Artificial Intelligence Conference brings together technology and business to explore opportunities in applied AI. (comptia.org)
  • Enter and explore the fascinating world of intelligent apps with Artificial Intelligence with Python. (oreilly.com)
  • Luminaries like Bill Joy , Elon Musk, and Stephen Hawking have warned against emerging technologies, especially artificial intelligence. (slate.com)
  • The most difficult problems for computers are informally known as "AI-complete" or "AI-hard", implying that solving them is equivalent to the general aptitude of human intelligence, or strong AI, beyond the capabilities of a purpose-specific algorithm. (wikipedia.org)
  • Just this week, a wide range of major announcements reveal a bold new world of applications that show what kind of magic can happen when you apply artificial intelligence to the job of understanding photographs. (eweek.com)
  • Many of the early efforts to apply artificial intelligence methods to real problems, including medical reasoning, have primarily used rule-based systems (13). (mit.edu)
  • No, artificial intelligence (AI) doesn't mean you'll have robots examining boxes of documents in the near, or even distant, future, but it does have true potential to transform legal services. (law.com)
  • We have been talking about robots and artificial intelligence forever, or so it sometimes seems. (webstock.org.nz)
  • The second stage is cognitive intelligence**,** in which machines can go beyond pattern recognition and start making inferences from data. (newyorker.com)
  • Artificial intelligence marketing principle is based on the perception-reasoning-action cycle you find in cognitive science. (wikipedia.org)
  • From personalized healthcare to weather and financial market predictions to fraud detection systems, AI-enabled intelligence is already showing up everywhere. (intel.com)
  • Healthcare leaders address artificial intelligence, population health and precision medicine adoption. (healthcareitnews.com)
  • The age of artificial intelligence (AI) has arrived, and is transforming everything from healthcare to transportation to manufacturing. (whitehouse.gov)
  • While the term "Artificial Intelligence" (AI) was coined in the 1950s, in recent years AI has become a focus of attention in mainstream media. (ssrn.com)
  • AI s difference to other types of computer based systems is that AI 'claims to model aspects of human intelligence' (Adam, 1998, p. 2). (yorku.ca)
  • W. Dubitzky and F. Azuaje, "Preface," in Artificial Intelligence Methods and Tools for Systems Biology , W. Dubitzky and F. Azuaje, Eds. (hindawi.com)
  • The compactness means the AI can perform high-level inference even on embedded systems, basically building machines that have computers and intelligence inside them. (livemint.com)
  • Rather, it concentrates on the less fantastical (but still far reaching) view of success in strong AI being dependant on holistic systems whose intelligence is a function of their perception of, and interaction with, the real world . (everything2.com)
  • The National Institute for Occupational Safety and Health (NIOSH), part of the Centers for Disease Control and Prevention (CDC), recently announced the start of an external crowdsourcing competition external icon , exploring the use of artificial intelligence (AI) to automate data processing in occupational safety and health surveillance systems. (cdc.gov)
  • Machine Learning is an artificial intelligence technology that provides systems with the ability to learn without being explicitly programmed. (accenture.com)
  • Biometrics is an artificial intelligence application that gives intelligent systems the ability to gather data on facial features and demographics. (accenture.com)
  • We have a situation where these artificial-intelligence systems may be perpetuating historical patterns of bias that we might find socially unacceptable and which we might be trying to move away from," Narayanan said. (princeton.edu)
  • Artificial intelligence (AI) refers to adaptive digital systems that independently hone their skills. (goethe.de)
  • However, I argue that the latest AI systems are premised on an old behaviorist view of intelligence that's far from encompassing human thought. (ssrn.com)
  • Given the difficulties encountered with rule-based systems, more recent efforts to use artificial intelligence in medicine have focused on programs organized around models of disease. (mit.edu)
  • I hope that this Special Issue will be for readers a valuable supplement to the knowledge of new artificial intelligence methods and its applications in new areas of medical imaging. (biomedcentral.com)
  • In fact, we tested various methods from the repertoire of machine learning and artificial intelligence. (uni-bonn.de)
  • This is an important discussion with many complexities, not least of which is the conflation of two potentially very different technologies: artificial intelligence and autonomous weapons. (slate.com)
  • But substantial interest remains in the long-range goal of building generally intelligent, autonomous agents, [ 2 ] even if the goal of fully human-like intelligence is elusive and is seldom pursued explicitly and as such. (stanford.edu)
  • Did you know that artificial intelligence uses computer programs to mimic the human brains? (google.com)
  • Qualcomm previously invested in Brain Corp, which spent seven years researching human brains and created artificial intelligence softwares that can be applied to motion and navigation. (atimes.com)
  • The phone giant says it is in the process of creating a transportation revolution by perfecting a new taxi passenger pickup system using Artificial Intelligence (AI). (forbes.com)
  • In the world of computing, there's a groundswell of excitement for what is perceived as the impending revolution in artificial intelligence. (newswise.com)
  • Strong AI says some artificial computation is thought. (utm.edu)
  • Though many strong AI advocates are computationalists, these are logically independent claims: some artificial computation being thought is consistent with some thought not being computation, contra computationalism. (utm.edu)
  • All thought being computation is consistent with some computation (and perhaps all artificial computation) not being thought. (utm.edu)
  • Despite the public debate between Elon Musk and Mark Zuckerberg on whether or not artificial intelligence (AI) is good for humanity and on the heels of Facebook's news it had shut down its AI engine because chatbots had started talking to one another in their own language, AI is still in high-growth mode. (forbes.com)
  • Next we plan to employ the artificial intelligence to build an even larger Bose-Einstein condensate faster than we've seen ever before," he said. (edu.au)
  • SAN FRANCISCO--( BUSINESS WIRE )-- Bay Labs , a medical technology company at the forefront of applying artificial intelligence (AI) to cardiovascular imaging, today announced its EchoMD AutoEF software product received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for the fully automated clip selection and calculation of left ventricular ejection fraction (EF). (businesswire.com)
  • Here's a look at some Artificial Intelligence Applications Meetups happening near San Francisco. (meetup.com)
  • What's News: Google buys artificial intelligence firm, DeepMind Technologies. (wsj.com)
  • Artificial Intelligence is a collection of advanced technologies that allows machines to sense, comprehend, act and learn. (accenture.com)
  • At Accenture, we're applying the latest Artificial Intelligence technologies to real-world problems. (accenture.com)
  • Deep learning is a hot topic in artificial intelligence, and it is responsible for a variety of technologies, from self-driving cars to Google Assistant. (newswise.com)
  • The only thing they all seem to agree on is that artificial intelligence is a set of technologies that try to imitate or augment human intelligence. (newyorker.com)
  • The discovery by Tufts University biologists presents the first model of regeneration discovered by a non-human intelligence and the first comprehensive model of planarian regeneration, which had eluded human scientists for over 100 years. (eurekalert.org)
  • Some scientists are investigating the potential of artificial intelligence (AI). (medicalnewstoday.com)
  • Much like "the cloud," "big data," and "machine learning" before it, the term "artificial intelligence" has been hijacked by marketers and advertising copywriters. (newyorker.com)
  • An open W3C community group called AIKR which stands for Artificial Intelligence Knowledge Representation was started around the time when DARPA brought up XAI. (w3.org)
  • Watson uses ideas from several areas of artificial intelligence, such as natural language processing, knowledge representation and machine learning. (angelo.edu)
  • NEWS ANALYSIS: Artificial intelligence used to be all about words. (eweek.com)
  • This two-day workshop will compare strategies and policies both at a European and national level on using Artificial Intelligence in the context of chronic disease management. (europa.eu)
  • In this talk, anthropologist and technologist, Dr. Genevieve Bell explores the meaning of "intelligence" within the context of machines & its cultural impact on humans and their relationships. (webstock.org.nz)
  • New studies demonstrate how artificial intelligence, in the medical context, can quickly and accurately diagnose a range of eye diseases and other medical conditions like pneumonia. (digitaljournal.com)
  • In marketing context act would be some sort of communications that would attempt to influence a prospect or customer purchase decision using incentive driven message Again artificial intelligence has a role to play in this stage as well. (wikipedia.org)
  • This book will not teach you to be a data scientist--but it does explain how Artificial Intelligence and Machine Learning will revolutionize your company's marketing strategy, and teach you how to use it most effectively. (wiley-vch.de)
  • Artificial intelligence will revolutionize the insurance industry. (accenture.com)
  • Artificial Intelligence (AI) helps extract deeper intelligence from data and early adopters are seeing great promise. (intel.com)
  • The major types of artificial intelligence (AI) learn by being presented with a labelled data set. (news-medical.net)
  • Machine learning itself is a subset of Artificial Intelligence (AI), and is broadly about teaching a computer how to spot patterns and use mountains of data to make connections without any programming to accomplish the specific task-a recommendation engine being a good example. (livemint.com)
  • Artificial Intelligence and Machine Learning provide a data-driven basis for more robust and intensely-targeted marketing strategies--and companies that effectively utilize these latest tools will reap the benefit in the marketplace. (wiley-vch.de)
  • They use genomic tools to sequence the DNA of microorganisms in samples, and then exploit this considerable amount of data with artificial intelligence. (eurekalert.org)
  • Windward, the expert in data display and analysis solutions, delivers powerful reporting, document generation and business intelligence software solutions for reseller, white labeling or enterprise use. (prweb.com)
  • Businesses worldwide create highly customized reports better and faster with data intelligence made easy. (prweb.com)
  • This is the part where data is transformed into information and eventually intelligence or insight. (wikipedia.org)
  • Adobe Sensei is the intelligence that will change the way you do business and the way customers experience your business. (adobe.com)
  • Applied Intelligence is intelligent technology and human ingenuity applied at the core of business - across every function and process - to address our clients' most complex challenges. (accenture.com)
  • Artificial intelligence is a transformative technology that will drive sustainable competitive advantage and business value. (gartner.com)
  • rather, we will draw on the key insights of such programs to create a coherent picture of artificial intelligence in medicine and the promising directions in which the field is moving. (mit.edu)
  • MIT believes that using artificial intelligence (AI) can reduce headaches for viewers and streaming services. (livemint.com)
  • Artificial intelligence, or AI, constitutes machine learning and deep learning, which enables computers to learn without being explicitly programmed every step of the way. (news-medical.net)
  • Alison Adam analyses a type of computer system that comes under the heading of artificial intelligence or AI. (yorku.ca)
  • Artificial intelligence (AI) can transform the productivity and GDP potential of the global economy. (pwc.com)
  • Federal technologists have spent years hyping the potential for artificial intelligence to transform the way government serves citizens, but for most agencies, the tech is still more of an aspiration than a reality. (nextgov.com)