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.

*  Artificial general intelligence - Wikipedia
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 ...
*  Artificial Intelligence - SlashGear
Artificial Intelligence. Google Cloud AutoML lets business play with AI without coding. JC Torres , Jan 17, 2018 ... Artificial intelligence and machine learning are the buzzwords of today and everyone and anyone, especially businesses, want in ... The Microsoft Research team in Asia have created an artificial intelligence that can not only read a document, it can even ... This brings LG's proprietary deep learning-based artificial intelligence technology to the forefront. ...
*  artificial intelligence | Multichannel
Consulting firm finds nearly two-thirds of consumers OK with artificial intelligence in their technology ...
*  CompTIA | Artificial Intelligence Conference
... the Artificial Intelligence Conference brings together technology and business to explore opportunities in applied AI. Learn ...'>Presented by O'Reilly and Intel Nervana,/a ... Presented by O'Reilly and Intel Nervana, the Artificial Intelligence Conference brings together technology and business to ...
*  A $3 artificial intelligence chip
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. It's a smart device that can be used as a courier or a mine detector. ...
*  Artificial Intelligence Enables a Data Revolution
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 ...
*  artificial intelligence Archives - ExtremeTech
NASA Looks at Artificial Intelligence to Control Spacecraft Radios December 13, 2017 at 11:10 am These so-called "cognitive ...
*  Introduction to Artificial Intelligence
... is an exciting, three week course from the Warwick Summer School and is hosted by ... is one of the biggest achievements of Artificial Intelligence.. In a nutshell, Alpha Go is a decision-making agent that takes ...
*  FreeLists / Artificial Intelligence
Research particular in artificial intelligence. The most of interesting things include Evolution, Electronic brains, Memory ... kidshome: Artificial Intelligence. Research particular in artificial intelligence. The most of interesting things include ...
*  Artificial Intelligence | Accenture
See how Accenture can help organizations leverage artificial intelligence technologies to unlock business value and create a ... Artificial Intelligence: The Future of Business How artificial intelligence and. robotics will amplify people,. products and ... What is Artificial Intelligence (AI)?. Artificial Intelligence is a collection of advanced technologies that allows machines to ... Biometrics is an artificial intelligence application that gives intelligent systems the ability to gather data on facial ...
*  Linux Artificial Intelligence Software -
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 for theoretical details. ...
*  energy - Artificial Intelligence
The large-scale project Until I Die is a hybrid installation that uses the artist's blood, extracted and accumulated over a long period of time. The blood is used to generate electricity for a small sound synthesizer.. ...
*  The Age of Artificial Intelligence in Fintech
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 ...
*  DSpace@MIT: Artificial Intelligence
Artificial Intelligence Series/Report no.: Massachusetts Institute of Technology. Research Laboratory of Electronics. Quarterly ...
*  Standards in Artificial Intelligence
... steve at steve at Thu Nov 2 17:43:51 EST 2000 * ... Previous message: Standards in Artificial Intelligence *Next message: Standards in Artificial Intelligence ... Previous message: Standards in Artificial Intelligence *Next message: Standards in Artificial Intelligence ...
*  Standards in Artificial Intelligence
... L.A. Loren lloren at Thu Nov 2 10:52:11 EST 2000 *Previous message: Standards ... Previous message: Standards in Artificial Intelligence *Next message: Standards in Artificial Intelligence ...
*  A.I. Artificial Intelligence (2001) - Rotten Tomatoes
Audience Reviews for A.I. Artificial Intelligence. ½. mr. spielburg's continuing attempt to find the real filmmaker hiding ... Critic Reviews for A.I. Artificial Intelligence. All Critics (190) , Top Critics (44) , Fresh (139) , Rotten (51) , DVD (19) ... A.I. Artificial Intelligence is a wonderful Sci Fi picture that displays a stunning amount of creativity and wonderful ideas. ... A.I. Artificial Intelligence was a project originally started by director Stanley Kubrick, but never completed due to his death ...
*  Legal Artificial Intelligence, Explained |
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 isn't ready to take over (most) legal jobs. But machine ... No, artificial intelligence (AI) doesn't mean you'll have robots examining boxes of documents in the near, or even distant, ...
*  Artificial Intelligence & Learning - Universität Innsbruck
3] H. J. Briegel and G. De las Cuevas, Projective simulation for artificial intelligence, Sci. Rep. 2, 400 (2012) [arXiv: ... Artificial Intelligence & Learning. One of the most exciting new developments in interdisciplinary aspects of quantum research ... In this line of research we investigate the problems of learning and artificial intelligence (AI) from the perspective of ... is the emergence of the field of quantum artificial intelligence. ...
*  Artificial Intelligence Solutions, AI Solutions | SAS
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*  chasing - Artificial Intelligence -
Hello , here is an image show what I am gonna to do in my XNA game , I want to check if the player is inside zone range and if yes then attack the player , I...
*  The difficulty of defining military artificial intelligence.
... especially artificial intelligence. Musk, for example, has warned that AI is "summoning the demons," and Hawking has claimed ... artificial intelligence and autonomous weapons. The terms themselves can be ambiguous-what, for example, does autonomous mean ... he development of full artificial intelligence could spell the end of the human race." More than 20,000 AI researchers to-date ...
*  0 Artificial Intelligence Libraries | ProgrammableWeb
Artificial Intelligence Libraries The following is a list of libraries from ProgrammableWeb's Library Directory that matched ...
*  Artificial Intelligence: The Future of Recruitment
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*  Could artificial intelligence create virtual GPs?
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Mexican International Conference on Artificial Intelligence: MICAI (short for Mexican International Conference on Artificial Intelligence) is the name of an annual conference covering all areas of Artificial Intelligence (AI), held in Mexico. The first MICAI conference was held in 2000.Evolution of human intelligence: The evolution of human intelligence refers to a set of theories that attempt to explain how human intelligence has evolved and are closely tied to the evolution of the human brain and to the origin of language.Knowledge acquisition: Knowledge acquisition is the process used to define the rules and ontologies required for a knowledge-based system. The phrase was first used in conjunction with expert systems to describe the initial tasks associated with developing an expert system, namely finding and interviewing domain experts and capturing their knowledge via rules, objects, and frame-based ontologies.Vague setPhysical neural network: A physical neural network is a type of artificial neural network in which an electrically adjustable resistance material is used to emulate the function of a neural synapse. "Physical" neural network is used to emphasize the reliance on physical hardware used to emulate neurons as opposed to software-based approaches which simulate neural networks.ChloropreneComputer Support Services: Computer Support Services, Inc., or CSSI, is an multi-national company providing technology solutions and professional services.Computer-aided diagnosis: In radiology, computer-aided detection (CADe), also called computer-aided diagnosis (CADx), are procedures in medicine that assist doctors in the interpretation of medical images. Imaging techniques in X-ray, MRI, and Ultrasound diagnostics yield a great deal of information, which the radiologist has to analyze and evaluate comprehensively in a short time.Manas Kumar Mandal: Manas Kumar Mandal, is a scientist and psychologist who is the former director of the Defence Institute of Psychological Research, Delhi, India since January 5, 2004 to February, 2013. Presently he is Chief Controller (Life Sciences), Defence Research and Development Organisation; India.Clonal Selection Algorithm: In artificial immune systems, Clonal selection algorithms are a class of algorithms inspired by the clonal selection theory of acquired immunity that explains how B and T lymphocytes improve their response to antigens over time called affinity maturation. These algorithms focus on the Darwinian attributes of the theory where selection is inspired by the affinity of antigen-antibody interactions, reproduction is inspired by cell division, and variation is inspired by somatic hypermutation.Interval boundary element method: Interval boundary element method is classical boundary element method with the interval parameters.
Mac OS X Server 1.0Cognitive skill: Cognitive functioning is a term referring to a human’s ability to process to (thoughts) that should not deplete on a large scale in healthy individuals. Cognition mainly refers to things like memory, the ability to learn new information, speech, understanding of written material.Family aggregation: Family aggregation, also known as familial aggregation, is the clustering of certain traits, behaviors, or disorders within a given family. Family aggregation may arise because of genetic or environmental similarities.Repeatable Battery for the Assessment of Neuropsychological Status: The Repeatable Battery for the Assessment of Neuropsychological Status is a neuropsychological assessment initially introduced in 1998. It consists of ten subtests which give five scores, one for each of the five domains tested (immediate memory, visuospatial/constructional, language, attention, delayed memory).Postoperative cognitive dysfunction: Postoperative cognitive dysfunction (POCD) is a short-term decline in cognitive function (especially in memory and executive functions) that may last from a few days to a few weeks after surgery. In rare cases, this disorder may persist for several months after major surgery.David Rees Griffiths: David Rees Griffiths (November 6, 1882 – December 17, 1953), also known by his bardic name of Amanwy, was a Welsh poet, and an older brother of politician Jim Griffiths.Hyperphosphatasia with mental retardation syndrome: Hyperphosphatasia with mental retardation syndrome, HPMRS, also known as Mabry syndrome, has been described in patients recruited on four continents world-wide. Mabry syndrome was confirmed to represent an autosomal recessive syndrome characterized by severe mental retardation, considerably elevated serum levels of alkaline phosphatase, hypoplastic terminal phalanges, and distinct facial features that include: hypertelorism, a broad nasal bridge and a rectangular face.Behavior Rating Inventory of Executive Function: The Behavior Rating Inventory of Executive Function (BRIEF), developed by Gerard Gioia, Ph.D.

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

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:  (+info)

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

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)

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

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)

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

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)

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

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)

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

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)

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

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 ++.  (+info)

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

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)

  • capabilities
  • Most recently, the California-based robo-advisor, Wealthfront, has added artificial intelligence capabilities to track account activity on its own product and other integrated services such as Venmo , to analyze and understand how account holders are spending, investing and making their financial decisions, in an effort to provide more customized advice to their customers. (
  • Artificial Intelligence is a series of albums by Warp Records released from 1992-1994 to exhibit the capabilities and sounds of electronic music. (
  • robots
  • 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. (
  • Since the 19th century, artificial beings are common in fiction, as in Mary Shelley's Frankenstein or Karel Čapek's R.U.R. (Rossum's Universal Robots). (
  • Kevin LaGrandeur showed that the dangers specific to AI can be seen in ancient literature concerning artificial humanoid servants such as the golem, or the proto-robots of Gerbert of Aurillac and Roger Bacon. (
  • systems
  • From personalized healthcare to weather and financial market predictions to fraud detection systems, AI-enabled intelligence is already showing up everywhere. (
  • In Multi-Agent Systems (MAS), a branch of Artificial Intelligence (AI), a norm is a guide for the common conduct of agents, thereby easing their decision-making, coordination and organization. (
  • Since most problems concerning regulation of the interaction of autonomous agents are linked to issues traditionally addressed by legal studies, and since law is the most pervasive and developed normative system, efforts to account for norms in Artificial Intelligence and Law and in normative multi-agent systems often overlap. (
  • With the arrival of computer applications into the legal domain, and especially artificial intelligence applied to it, logic has been used as the major tool to formalize legal reasoning and has been developed in many directions, ranging from deontic logics to formal systems of argumentation. (
  • Applied Artificial Intelligence is a peer-reviewed scientific journal covering applications of artificial intelligence in management, industry, engineering, administration, and education, as well as evaluations of existing AI systems and tools and their economic, social, and cultural impact. (
  • tasks
  • The scope of AI is disputed: as machines become increasingly capable, tasks considered as requiring "intelligence" are often removed from the definition, a phenomenon known as the AI effect, leading to the quip "AI is whatever hasn't been done yet. (
  • discipline
  • Artificial intelligence was founded as an academic discipline in 1956, and in the years since has experienced several waves of optimism, followed by disappointment and the loss of funding (known as an "AI winter"), followed by new approaches, success and renewed funding. (
  • Evidence of this requirement gaining more momentum can be seen with the launch of the first global conference exclusively dedicated to this emerging discipline, the International Joint Conference on Artificial Intelligence: Workshop on Explainable Artificial Intelligence (XAI). (
  • idea
  • While thought-capable artificial beings appeared as storytelling devices in antiquity, the idea of actually trying to build a machine to perform useful reasoning may have begun with Ramon Llull (c. 1300 CE). (
  • The term was coined by Eliezer Yudkowsky, who is best known for popularizing the idea, to discuss superintelligent artificial agents that reliably implement human values. (
  • message
  • 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. (
  • seen
  • In those stories, the extreme intelligence and power of these humanoid creations clash with their status as slaves (which by nature are seen as sub-human), and cause disastrous conflict. (