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.Natural Language Processing: Computer processing of a language with rules that reflect and describe current usage rather than prescribed usage.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.Diagnosis, Computer-Assisted: Application of computer programs designed to assist the physician in solving a diagnostic problem.Intelligence Tests: Standardized tests that measure the present general ability or aptitude for intellectual performance.Unified Medical Language System: A research and development program initiated by the NATIONAL LIBRARY OF MEDICINE to build knowledge sources for the purpose of aiding the development of systems that help health professionals retrieve and integrate biomedical information. The knowledge sources can be used to link disparate information systems to overcome retrieval problems caused by differences in terminology and the scattering of relevant information across many databases. The three knowledge sources are the Metathesaurus, the Semantic Network, and the Specialist Lexicon.Algorithms: A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.Language Development: The gradual expansion in complexity and meaning of symbols and sounds as perceived and interpreted by the individual through a maturational and learning process. Stages in development include babbling, cooing, word imitation with cognition, and use of short sentences.Information Storage and Retrieval: Organized activities related to the storage, location, search, and retrieval of information.Linguistics: The science of language, including phonetics, phonology, morphology, syntax, semantics, pragmatics, and historical linguistics. (Random House Unabridged Dictionary, 2d ed)Semantics: The relationships between symbols and their meanings.Vocabulary, Controlled: A specified list of terms with a fixed and unalterable meaning, and from which a selection is made when CATALOGING; ABSTRACTING AND INDEXING; or searching BOOKS; JOURNALS AS TOPIC; and other documents. The control is intended to avoid the scattering of related subjects under different headings (SUBJECT HEADINGS). The list may be altered or extended only by the publisher or issuing agency. (From Harrod's Librarians' Glossary, 7th ed, p163)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.Software: Sequential operating programs and data which instruct the functioning of a digital computer.Computer Simulation: Computer-based representation of physical systems and phenomena such as chemical processes.Language Disorders: Conditions characterized by deficiencies of comprehension or expression of written and spoken forms of language. These include acquired and developmental disorders.Data Mining: Use of sophisticated analysis tools to sort through, organize, examine, and combine large sets of information.Programming Languages: Specific languages used to prepare computer programs.Abstracting and Indexing as Topic: Activities performed to identify concepts and aspects of published information and research reports.Language Development Disorders: Conditions characterized by language abilities (comprehension and expression of speech and writing) that are below the expected level for a given age, generally in the absence of an intellectual impairment. These conditions may be associated with DEAFNESS; BRAIN DISEASES; MENTAL DISORDERS; or environmental factors.Medical Records Systems, Computerized: Computer-based systems for input, storage, display, retrieval, and printing of information contained in a patient's medical record.Subject Headings: Terms or expressions which provide the major means of access by subject to the bibliographic unit.Sign Language: A system of hand gestures used for communication by the deaf or by people speaking different languages.Electronic Health Records: Media that facilitate transportability of pertinent information concerning patient's illness across varied providers and geographic locations. Some versions include direct linkages to online consumer health information that is relevant to the health conditions and treatments related to a specific patient.Terminology as Topic: The terms, expressions, designations, or symbols used in a particular science, discipline, or specialized subject area.Wechsler Scales: Tests designed to measure intellectual functioning in children and adults.MEDLINE: The premier bibliographic database of the NATIONAL LIBRARY OF MEDICINE. MEDLINE® (MEDLARS Online) is the primary subset of PUBMED and can be searched on NLM's Web site in PubMed or the NLM Gateway. MEDLINE references are indexed with MEDICAL SUBJECT HEADINGS (MeSH).Abbreviations as Topic: Shortened forms of written words or phrases used for brevity.Medical Records, Problem-Oriented: A system of record keeping in which a list of the patient's problems is made and all history, physical findings, laboratory data, etc. pertinent to each problem are placed under that heading.RxNorm: A standardized nomenclature for clinical drugs and drug delivery devices. It links its names to many of the drug vocabularies commonly used in pharmacy management.Dictionaries as Topic: Lists of words, usually in alphabetical order, giving information about form, pronunciation, etymology, grammar, and meaning.Crowdsourcing: Social media model for enabling public involvement and recruitment in participation. Use of social media to collect feedback and recruit volunteer subjects.User-Computer Interface: The portion of an interactive computer program that issues messages to and receives commands from a user.Language Therapy: Rehabilitation of persons with language disorders or training of children with language development disorders.Systematized Nomenclature of Medicine: Controlled vocabulary of clinical terms produced by the International Health Terminology Standards Development Organisation (IHTSDO).Database Management Systems: Software designed to store, manipulate, manage, and control data for specific uses.PubMed: A bibliographic database that includes MEDLINE as its primary subset. It is produced by the National Center for Biotechnology Information (NCBI), part of the NATIONAL LIBRARY OF MEDICINE. PubMed, which is searchable through NLM's Web site, also includes access to additional citations to selected life sciences journals not in MEDLINE, and links to other resources such as the full-text of articles at participating publishers' Web sites, NCBI's molecular biology databases, and PubMed Central.Language: A verbal or nonverbal means of communicating ideas or feelings.Forms and Records Control: A management function in which standards and guidelines are developed for the development, maintenance, and handling of forms and records.Knowledge Bases: Collections of facts, assumptions, beliefs, and heuristics that are used in combination with databases to achieve desired results, such as a diagnosis, an interpretation, or a solution to a problem (From McGraw Hill Dictionary of Scientific and Technical Terms, 6th ed).Cognition: Intellectual or mental process whereby an organism obtains knowledge.Psycholinguistics: A discipline concerned with relations between messages and the characteristics of individuals who select and interpret them; it deals directly with the processes of encoding (phonetics) and decoding (psychoacoustics) as they relate states of messages to states of communicators.Pattern Recognition, Automated: In INFORMATION RETRIEVAL, machine-sensing or identification of visible patterns (shapes, forms, and configurations). (Harrod's Librarians' Glossary, 7th ed)Biological Ontologies: Structured vocabularies describing concepts from the fields of biology and relationships between concepts.Pathology: A specialty concerned with the nature and cause of disease as expressed by changes in cellular or tissue structure and function caused by the disease process.Metaphor: The application of a concept to that which it is not literally the same but which suggests a resemblance and comparison. Medical metaphors were widespread in ancient literature; the description of a sick body was often used by ancient writers to define a critical condition of the State, in which one corrupt part can ruin the entire system. (From Med Secoli Arte Sci, 1990;2(3):abstract 331)Medical Records: Recording of pertinent information concerning patient's illness or illnesses.Vocabulary: The sum or the stock of words used by a language, a group, or an individual. (From Webster, 3d ed)Radiology Information Systems: Information systems, usually computer-assisted, designed to store, manipulate, and retrieve information for planning, organizing, directing, and controlling administrative activities associated with the provision and utilization of radiology services and facilities.Documentation: Systematic organization, storage, retrieval, and dissemination of specialized information, especially of a scientific or technical nature (From ALA Glossary of Library and Information Science, 1983). It often involves authenticating or validating information.Language Arts: Skills in the use of language which lead to proficiency in written or spoken communication.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.Verbal Behavior: Includes both producing and responding to words, either written or spoken.Automatic Data Processing: Data processing largely performed by automatic means.Medical Informatics: The field of information science concerned with the analysis and dissemination of medical data through the application of computers to various aspects of health care and medicine.Writing: The act or practice of literary composition, the occupation of writer, or producing or engaging in literary work as a profession.Narration: The act, process, or an instance of narrating, i.e., telling a story. In the context of MEDICINE or ETHICS, narration includes relating the particular and the personal in the life story of an individual.Speech Recognition Software: Software capable of recognizing dictation and transcribing the spoken words into written text.Databases, Factual: Extensive collections, reputedly complete, of facts and data garnered from material of a specialized subject area and made available for analysis and application. The collection can be automated by various contemporary methods for retrieval. The concept should be differentiated from DATABASES, BIBLIOGRAPHIC which is restricted to collections of bibliographic references.National Library of Medicine (U.S.): An agency of the NATIONAL INSTITUTES OF HEALTH concerned with overall planning, promoting, and administering programs pertaining to advancement of medical and related sciences. Major activities of this institute include the collection, dissemination, and exchange of information important to the progress of medicine and health, research in medical informatics and support for medical library development.Dictionaries, MedicalDatabases, Bibliographic: Extensive collections, reputedly complete, of references and citations to books, articles, publications, etc., generally on a single subject or specialized subject area. Databases can operate through automated files, libraries, or computer disks. The concept should be differentiated from DATABASES, FACTUAL which is used for collections of data and facts apart from bibliographic references to them.Medical Subject Headings: Controlled vocabulary thesaurus produced by the NATIONAL LIBRARY OF MEDICINE. It consists of sets of terms naming descriptors in a hierarchical structure that permits searching at various levels of specificity.Hypermedia: Computerized compilations of information units (text, sound, graphics, and/or video) interconnected by logical nonlinear linkages that enable users to follow optimal paths through the material and also the systems used to create and display this information. (From Thesaurus of ERIC Descriptors, 1994)Cognition Disorders: Disturbances in mental processes related to learning, thinking, reasoning, and judgment.Periodicals as Topic: A publication issued at stated, more or less regular, intervals.Research Report: Detailed account or statement or formal record of data resulting from empirical inquiry.Computational Biology: A field of biology concerned with the development of techniques for the collection and manipulation of biological data, and the use of such data to make biological discoveries or predictions. This field encompasses all computational methods and theories for solving biological problems including manipulation of models and datasets.Radiography, Thoracic: X-ray visualization of the chest and organs of the thoracic cavity. It is not restricted to visualization of the lungs.Patient Discharge: The administrative process of discharging the patient, alive or dead, from hospitals or other health facilities.Child Development: The continuous sequential physiological and psychological maturing of an individual from birth up to but not including ADOLESCENCE.Stanford-Binet Test: An individual intelligence test designed primarily for school children to predict school performance and the ability to adjust to everyday demands.Echolalia: Involuntary ("parrot-like"), meaningless repetition of a recently heard word, phrase, or song. This condition may be associated with transcortical APHASIA; SCHIZOPHRENIA; or other disorders. (From Adams et al., Principles of Neurology, 6th ed, p485)Internet: A loose confederation of computer communication networks around the world. The networks that make up the Internet are connected through several backbone networks. The Internet grew out of the US Government ARPAnet project and was designed to facilitate information exchange.Models, Theoretical: Theoretical representations that simulate the behavior or activity of systems, processes, or phenomena. They include the use of mathematical equations, computers, and other electronic equipment.Computer Systems: Systems composed of a computer or computers, peripheral equipment, such as disks, printers, and terminals, and telecommunications capabilities.Killer Cells, Natural: Bone marrow-derived lymphocytes that possess cytotoxic properties, classically directed against transformed and virus-infected cells. Unlike T CELLS; and B CELLS; NK CELLS are not antigen specific. The cytotoxicity of natural killer cells is determined by the collective signaling of an array of inhibitory and stimulatory CELL SURFACE RECEPTORS. A subset of T-LYMPHOCYTES referred to as NATURAL KILLER T CELLS shares some of the properties of this cell type.Reproducibility of Results: The statistical reproducibility of measurements (often in a clinical context), including the testing of instrumentation or techniques to obtain reproducible results. The concept includes reproducibility of physiological measurements, which may be used to develop rules to assess probability or prognosis, or response to a stimulus; reproducibility of occurrence of a condition; and reproducibility of experimental results.Medication Systems: Overall systems, traditional or automated, to provide medication to patients.Anatomy: A branch of biology dealing with the structure of organisms.ReadingDiagnosis: The determination of the nature of a disease or condition, or the distinguishing of one disease or condition from another. Assessment may be made through physical examination, laboratory tests, or the likes. Computerized programs may be used to enhance the decision-making process.Comprehension: The act or fact of grasping the meaning, nature, or importance of; understanding. (American Heritage Dictionary, 4th ed) Includes understanding by a patient or research subject of information disclosed orally or in writing.Speech: Communication through a system of conventional vocal symbols.Hospital Information Systems: Integrated, computer-assisted systems designed to store, manipulate, and retrieve information concerned with the administrative and clinical aspects of providing medical services within the hospital.Magnetic Resonance Imaging: Non-invasive method of demonstrating internal anatomy based on the principle that atomic nuclei in a strong magnetic field absorb pulses of radiofrequency energy and emit them as radiowaves which can be reconstructed into computerized images. The concept includes proton spin tomographic techniques.Deafness: A general term for the complete loss of the ability to hear from both ears.Cultural Evolution: The continuous developmental process of a culture from simple to complex forms and from homogeneous to heterogeneous qualities.Decision Support Systems, Clinical: Computer-based information systems used to integrate clinical and patient information and provide support for decision-making in patient care.Systems Integration: The procedures involved in combining separately developed modules, components, or subsystems so that they work together as a complete system. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 4th ed)Classification: The systematic arrangement of entities in any field into categories classes based on common characteristics such as properties, morphology, subject matter, etc.Software Design: Specifications and instructions applied to the software.Brain: The part of CENTRAL NERVOUS SYSTEM that is contained within the skull (CRANIUM). Arising from the NEURAL TUBE, the embryonic brain is comprised of three major parts including PROSENCEPHALON (the forebrain); MESENCEPHALON (the midbrain); and RHOMBENCEPHALON (the hindbrain). The developed brain consists of CEREBRUM; CEREBELLUM; and other structures in the BRAIN STEM.Verbal Learning: Learning to respond verbally to a verbal stimulus cue.Aptitude: The ability to acquire general or special types of knowledge or skill.Functional Laterality: Behavioral manifestations of cerebral dominance in which there is preferential use and superior functioning of either the left or the right side, as in the preferred use of the right hand or right foot.International Classification of Diseases: A system of categories to which morbid entries are assigned according to established criteria. Included is the entire range of conditions in a manageable number of categories, grouped to facilitate mortality reporting. It is produced by the World Health Organization (From ICD-10, p1). The Clinical Modifications, produced by the UNITED STATES DEPT. OF HEALTH AND HUMAN SERVICES, are larger extensions used for morbidity and general epidemiological purposes, primarily in the U.S.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)Brain Mapping: Imaging techniques used to colocalize sites of brain functions or physiological activity with brain structures.Schizophrenic Language: The artificial language of schizophrenic patients - neologisms (words of the patient's own making with new meanings).Communication Barriers: Those factors, such as language or sociocultural relationships, which interfere in the meaningful interpretation and transmission of ideas between individuals or groups.Phonetics: The science or study of speech sounds and their production, transmission, and reception, and their analysis, classification, and transcription. (Random House Unabridged Dictionary, 2d ed)Problem Solving: A learning situation involving more than one alternative from which a selection is made in order to attain a specific goal.Medical History Taking: Acquiring information from a patient on past medical conditions and treatments.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.United StatesBiomedical Research: Research that involves the application of the natural sciences, especially biology and physiology, to medicine.Decision Trees: A graphic device used in decision analysis, series of decision options are represented as branches (hierarchical).Developmental Disabilities: Disorders in which there is a delay in development based on that expected for a given age level or stage of development. These impairments or disabilities originate before age 18, may be expected to continue indefinitely, and constitute a substantial impairment. Biological and nonbiological factors are involved in these disorders. (From American Psychiatric Glossary, 6th ed)Learning: Relatively permanent change in behavior that is the result of past experience or practice. The concept includes the acquisition of knowledge.ComputersAchievement: Success in bringing an effort to the desired end; the degree or level of success attained in some specified area (esp. scholastic) or in general.Information Dissemination: The circulation or wide dispersal of information.Learning Disorders: Conditions characterized by a significant discrepancy between an individual's perceived level of intellect and their ability to acquire new language and other cognitive skills. These disorders may result from organic or psychological conditions. Relatively common subtypes include DYSLEXIA, DYSCALCULIA, and DYSGRAPHIA.Disease: A definite pathologic process with a characteristic set of signs and symptoms. It may affect the whole body or any of its parts, and its etiology, pathology, and prognosis may be known or unknown.Databases, Genetic: Databases devoted to knowledge about specific genes and gene products.Psychological Tests: Standardized tests designed to measure abilities, as in intelligence, aptitude, and achievement tests, or to evaluate personality traits.Speech Disorders: Acquired or developmental conditions marked by an impaired ability to comprehend or generate spoken forms of language.Autistic Disorder: A disorder beginning in childhood. It is marked by the presence of markedly abnormal or impaired development in social interaction and communication and a markedly restricted repertoire of activity and interest. Manifestations of the disorder vary greatly depending on the developmental level and chronological age of the individual. (DSM-V)Memory, Short-Term: Remembrance of information for a few seconds to hours.Educational Status: Educational attainment or level of education of individuals.Sensitivity and Specificity: Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition. (From Last, Dictionary of Epidemiology, 2d ed)Radiographic Image Interpretation, Computer-Assisted: Computer systems or networks designed to provide radiographic interpretive information.Speech Production Measurement: Measurement of parameters of the speech product such as vocal tone, loudness, pitch, voice quality, articulation, resonance, phonation, phonetic structure and prosody.Speech Perception: The process whereby an utterance is decoded into a representation in terms of linguistic units (sequences of phonetic segments which combine to form lexical and grammatical morphemes).

*Natural language understanding

... (NLU) is a subtopic of natural language processing in artificial intelligence that deals with ... In the 1970s and 1980s the natural language processing group at SRI International continued research and development in the ... History of natural language processing Information extraction Mathematica Natural language programming Natural language user ... Eight years after John McCarthy coined the term artificial intelligence, Bobrow's dissertation (titled Natural Language Input ...

*Larry Tesler

This functional programming language was intended to make concurrent processing more natural and was used to introduce ... and worked for a time at the Stanford Artificial Intelligence Laboratory. With Horace Enea, he designed Compel, an early single ... In the 1970s, from 1973 to 1980, Tesler worked at Xerox PARC, where some of his main projects were the Gypsy word processor and ... "A language design for concurrent processes". AFIPS '68 (Spring) Proceedings of the April 30--May 2, 1968, spring joint computer ...

*Neats and scruffies

... originally made by Roger Schank in the mid-1970s to characterize the difference between his work on natural language processing ... Artificial intelligence portal Neat and scruffy are labels for two different types of artificial intelligence (AI) research. ... SHRDLU, while enormously successful, could not be scaled up into a useful natural language processing system, however, because ... such as machine learning algorithms with natural language processing that could study the text available over the internet), no ...

*PARRY

History of natural language processing Güzeldere 1995 Boden 2006, p. 370. Colby et al. 1972, p. 42. Saygin, Cicekli & Akman ... at Bolt Beranek and Newman and PARRY at Stanford Artificial Intelligence Laboratory ^ Güven Güzeldere; Stefano Franchi (1995-07 ... It was described as "ELIZA with attitude". PARRY was tested in the early 1970s using a variation of the Turing Test. A group of ...

*List of University of Maryland, Baltimore County people

... has contributed to natural language processing, expert systems, the theory and applications of multiagent systems, the semantic ... computer scientist focused on the applications of artificial intelligence to problems in information systems, ... filmmaker involved in experimental cinema since the 1970s Robert A. Rubinstein - cultural anthropologist who bridges the areas ... University Professor of Computer Science and Electrical Engineering whose research interests include signal processing, machine ...

*Artificial intelligence in healthcare

... sequencing databases Widespread implementation of electronic health record systems Improvements in natural language processing ... Research in the 1960s and 1970s produced the first problem-solving program, or expert system, known as Dendral. While it was ... www.whitehouse.gov/blog/2016/05/03/preparing-future-artificial-intelligence. "The National Artificial Intelligence Research and ... Artificial intelligence, 61(2), 209-261. Clancey, W. J., & Shortliffe, E. H. (1984). Readings in medical artificial ...

*Virtual assistant (artificial intelligence)

Virtual assistants use natural language processing (NLP) to match user text or voice input to executable commands. Many ... The next milestone in the development of voice recognition technology was achieved in the 1970s at the Carnegie Mellon ... artificial intelligence Chatbot Computer facial animation Expert system Intelligent agent Knowledge Navigator Natural language ... It involves natural language understanding technology combined with automatic speech recognition and had been introduced in ...

*Information Sciences Institute

... artificial intelligence, including natural language, machine translation, information integration, social networks, knowledge ... He is a natural language specialist with research interests that focus on optical character recognition, speech processing, and ... ISI was founded by Keith Uncapher, who headed the computer research group at RAND Corporation in the 1960s and early 1970s. ... AI expertise includes natural language processing, in which ISI has an international reputation, reconfigurable robotics, ...

*Natural-language processing

... (NLP) is a field of computer science, artificial intelligence concerned with the interactions ... During the 1970s, many programmers began to write "conceptual ontologies", which structured real-world information into ... List of natural language processing toolkits Native-language identification Natural language programming Natural language ... Challenges in natural-language processing frequently involve speech recognition, natural-language understanding, and natural- ...

*Yorick Wilks

Artificial intelligence Computational linguistics Natural language processing Yorick Wilks'profile at the University of ... based principally on meaning structures and built by Wilks at Stanford Artificial Intelligence Laboratory in the early 1970s ( ... Natural Language Processing as a Foundation of the Semantic Web. Now Press: London. Wilks, Y. (2007) Words and Intelligence I, ... Computational Semantics-an Introduction to Artificial Intelligence and Natural Language Understanding. Amsterdam: North-Holland ...

*Christopher Locke

Locke's first publications in print were introductory articles on Lisp and natural language processing. He has since written ... His interest in artificial intelligence secured him a number of jobs in Tokyo between 1983 and 1985: He was working as a ... In the late 1970s, Christopher Locke was working as a construction contractor and cabinet maker, but was forced out of business ... In 1986, Locke was working in the marketing department of Carnegie Group, an artificial intelligence firm in Pittsburgh, ...

*Aeroméxico

It also launched the ability to ask any question, using artificial intelligence and natural language processing techniques to ... During the early 1970s, the remaining Douglas DC-6 and Bristol Britannia aircraft were retired. A new color scheme (orange and ... Service to Canada was initiated and in the early 1970s, two more DC-9-15s were added to the fleet.[citation needed] The early ... Starting the privatization process included a new corporate name (Aerovias de Mexico SA de CV). The airline restarted ...

*Question answering

... whereas many modern QA systems rely on statistical processing of a large, unstructured, natural language text corpus. The 1970s ... a logic programming language associated with artificial intelligence. In information retrieval, an open domain question ... Hirschman, L. & Gaizauskas, R. (2001) Natural Language Question Answering. The View from Here. Natural Language Engineering ( ... QA systems can pull answers from an unstructured collection of natural language documents. Some examples of natural language ...

*Frame language

A frame language is a technology used for knowledge representation in artificial intelligence. Frames are stored as ontologies ... The term Frame was first used by Marvin Minsky as a paradigm to understand visual reasoning and natural language processing. In ... Similarly, in linguistics, Charles J. Fillmore in the mid-1970s started working on his theory of frame semantics, which later ... Daniel G. Bobrow, Terry Winograd, An Overview of KRL, A Knowledge Representation Language, Stanford Artificial Intelligence ...

*Word-sense disambiguation

Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language ... In the 1970s, WSD was a subtask of semantic interpretation systems developed within the field of artificial intelligence, ... Handbook of Natural Language Processing, ed. by Dale et al., 629-654. New York: Marcel Dekker.. ... In Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing (EMNLP, Barcelona, Spain). Ide, N.; T ...

*John F. Sowa

... for artificial intelligence and automated natural language understanding. Currently Sowa is working with Kyndi Inc., also ... Sowa's research interest since the 1970s were in the field of artificial intelligence, expert systems and database query linked ... Conceptual Structures - Information Processing in Mind and Machine. The Systems Programming Series, Addison-Wesley 1991. ... He is a fellow of the Association for the Advancement of Artificial Intelligence. After early retirement at IBM Sowa in 2001 ...

*2081: A Hopeful View of the Human Future

... included speaker-independent speech recognition and natural language processing. O'Neill correctly pointed out the huge ... O'Neill predicted that software engineering issues and the intractability of artificial intelligence problems would require ... Paul R. Ehrlich wrote in 1968 in The Population Bomb, "in the 1970s and 1980s hundreds of millions of people will starve to ... The city enjoyed an artificial tropical climate all year because of internal climate controls and advanced insulation. He also ...

*Genetic algorithm

In computer science and operations research, a genetic algorithm (GA) is a metaheuristic inspired by the process of natural ... which was proposed for generating artificial intelligence. Evolutionary programming originally used finite state machines for ... Genetic algorithms in particular became popular through the work of John Holland in the early 1970s, and particularly his book ... Evolver was sold to Palisade in 1997, translated into several languages, and is currently in its 6th version. Genetic ...

*Prolog

... and Natural Language Analysis. Microtome. Adam Lally; Paul Fodor (31 March 2011). "Natural Language Processing With ... Proceedings of the 1977 symposium on Artificial intelligence and programming languages, pp 109-115. comp.lang.prolog FAQ Prolog ... The language was first conceived by a group around Alain Colmerauer in Marseille, France, in the early 1970s and the first ... ISBN 0-201-40375-7. Covington, Michael A. (1994). Natural language processing for Prolog programmers. Englewood Cliffs, N.J.: ...

*Cognitive philology

... neurosciences and artificial intelligence. "The point is not the text, but the mind that made it". Cognitive Philology aims to ... studies how narratives emerge in so called natural conversation and selective process which lead to the rise of literary ... He was one of the founders of cognitive linguistics in the 1970s through his work on pragmatic scales and mental spaces. His ... Center for the Study of Language and Information. ISBN 978-1575864679. Cognitive linguistics Philology Information Theory ...

*Categorization

Since the research by Eleanor Rosch and George Lakoff in the 1970s, categorization can also be viewed as the process of ... artificial intelligence) "Category". Encyclopædia Britannica. 5 (11th ed.). 1911. pp. 508-510. ... In Proceedings of the Workshop on Evaluation and Usability of Programming Languages and Tools (PLATEAU) at the ACM Onward! and ... A cognitive approach accepts that natural categories are graded (they tend to be fuzzy at their boundaries) and inconsistent in ...

*Bruce Wilcox

He and his wife Sue founded the natural language company Brillig Understanding in 2012. Bruce's bot Rose won the 2014 Loebner ... Bruce Wilcox (born 1951) is an artificial intelligence programmer. Wilcox wrote the MTS/LISP interpreter (the LISP system used ... 302, and Information Processing Working Paper No. 21, The University of Michigan, 1974 Wilcox, B. Reflections on building two ... at the University of Michigan and a consortium of other places including UPenn and Brown) back in the early 1970s, in order to ...

*List of people associated with PARC

... expert in natural language processing, helped develop Interlisp Jussi Karlgren (at PARC 1991-1992), known for work on ... researcher on artificial intelligence for health applications Prasad Ram (at PARC circa 1998-2000), expert on digital rights ... at PARC in late 1970s), CAD and office software designer Ed Chi (at PARC 1997-2011), researcher in information visualization ... I worked with PARC's natural language processing group . George Pake - Biographical Memoirs of the National Academy of Sciences ...

*Carl Hewitt

The Planner language was developed during the late 1960s as part of Hewitt's doctoral research in MIT's Artificial Intelligence ... Procedures as a Representation for Data in a Computer Program for Understanding Natural Language MIT AI TR-235. January 1971. ... See actor model and process calculi history.) Carl Hewitt (1969). PLANNER: A Language for Proving Theorems in Robots IJCAI'69. ... Hewitt's own work on Planner continued with Muddle (later called MDL), which was developed in the early 1970s by Sussman, ...

*Cognitive biology

... artificial intelligence, linguistics, philosophy, neuroscience, and cognitive anthropology. These six separate sciences were ... Behavioural Processes 35: 311-326. Ziemke, Tom (2003). What's that thing called embodiment. In Proceedings of the 25th Annual ... Any explanation of how natural cognition may manifest in an organism is constrained by the biological conditions in which its ... "Social Cognition and the Evolution of Language: Constructing Cognitive Phylogenies." A more restricted example can be found ...

*Philosophy of science

... and artificial intelligence, questioning what they can and cannot explain in psychology. Philosophy of psychology is a ... For Kuhn, acceptance or rejection of a paradigm is a social process as much as a logical process. Kuhn's position, however, is ... However, neo-positivism failed dismally to give a faithful account of science, whether natural or social. It failed because it ... Logical positivism is commonly portrayed as taking the extreme position that scientific language should never refer to anything ...
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 ...
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 ...
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, ...
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 ...
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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 ...
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 ...
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 ...
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Amanda Stent is a NLP architect at Bloomberg LP. Previously, she was a director of research and principal research scientist at Yahoo Labs, a principal member of technical staff at AT&T Labs - Research, and an associate professor in the Computer Science Department at Stony Brook University. Her research interests center on natural language processing and its applications, in particular topics related to text analytics, discourse, dialog and ...
... is a NLP architect at Bloomberg LP. Previously, she was a director of research and principal research scientist at Yahoo Labs, a principal member of technical staff at AT&T Labs - Research, and an associate professor in the Computer Science Department at Stony Brook University. Her research interests center on natural language processing and its applications, in particular topics related to text analytics, discourse, dialog and natural ...
Abstract objects such as properties, propositions, numbers, degrees, and expression types are at the centre of many philosophical debates. Philosophers and linguists alike generally hold the view that natural language allows rather generously for reference to abstracts objects of the various sorts. The project of this book is to investigate in a fully systematic way whether and how natural language permits ...
Abstract Objects and the Semantics of Natural Language, Friederike Moltmann, 188,1 zł. Friederike Moltmann presents an original approach to philosophical issues to do with abstract objects. She focuses on natural language, and finds tha, Abstract Objects and the Semantics of Natural Language, Sklep Internetowy Zinamon.pl zaprasza
Microsoft Azure Machine Learning (MAML) is a fully managed service on Windows Azure which a developer can use to build a predictive analytics model using machine learning over data and then deploy her model as a web service. ML Studio is accessible through a web browser, with no software to purchase or install, and the authoring experience is through visual composition. There are modules in Azure ML to support the end-to-end data science workflow for constructing a predictive model, from ready access to common data sources, data exploration, ...
Get this from a library! Artificial intelligence research and development : proceedings of the 14th International Conference of the Catalan Association for Artificial Intelligence. [Cèsar Fernández; Hector Gaffner; Felip Manyà; IOS Press.;] -- This book is a collection of the papers accepted for presentation at the 14th International Conference of the Catalan Association for Artificial Intelligence (CCIA 2011), held at the University of ...
Coreference resolution tries to identify all expressions (called mentions) in observed text that refer to the same entity. Beside entity extraction and relation extraction, it represents one of the three complementary tasks in Information Extraction. In this paper we describe a novel coreference resolution system SkipCor that reformulates the problem as a sequence labeling task. None of the existing supervised, unsupervised, pairwise or sequence-based models are ...
The Natural Language Processing group focuses on developing efficient algorithms to process text and to make their information accessible to computer applications. The goal of the group is to design and build software that will analyze, understand, and generate languages that humans use naturally, so that eventually people can address computers as though they were addressing another person.. The challenges our team faces stem from the highly ambiguous nature ...
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EMNLP-IJCNLP 2019 : Conference on Empirical Methods in Natural Language Processing & International Joint Conference on Natural Language Processing 2019
18 January 2018 - Horacio Saggion (Universitat Pompeu Fabra) - Mining and Enriching Scientific Text Collections. In the current online Open Science context, scientific datasets and tools for deep text analysis, visualization and exploitation play a major role. I will present a system developed over the past three years for "deep" analysis and annotation of scientific text collections. After a brief overview of the system and its main components, I will present our current work on the development of a bi-lingual (Spanish and ...
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 ...
The course introduces the students into the field of artificial intelligence and gives the necessary basis for designing machine control algorithms. It advances the knowledge of state space search algorithms by including uncertainty in state transition. Students are introduced into reinforcement learning for solving problems when the state transitions are unknown, which also connects the artificial intelligence and cybernetics fields. ...
Naive Bayes is a simple technique for constructing classifiers: models that assign class labels to problem instances, represented as vectors of feature values, where the class labels are drawn from some finite set. There is not a single algorithm for training such classifiers, but a family of algorithms based on a common principle: all naive Bayes classifiers assume that the ...
TY - JOUR. T1 - Detection of breast cancer with mammography. T2 - Effect of an artificial intelligence support system. AU - Rodríguez-Ruiz, Alejandro. AU - Krupinski, Elizabeth A. AU - Mordang, Jan Jurre. AU - Schilling, Kathy. AU - Heywang-Köbrunner, Sylvia H.. AU - Sechopoulos, Ioannis. AU - Mann, Ritse M.. PY - 2019/3/1. Y1 - 2019/3/1. N2 - Purpose: To compare breast cancer detection performance of radiologists reading mammographic examinations unaided versus supported by an artificial intelligence (AI) system. Materials and Methods: An enriched ...
Challenges for Socially-Beneficial Artificial Intelligence". Daniel S. Weld. University of Washington. Stephen Hawking, Bill Gates, and other luminaries warn that an "intelligence explosion" may lead to the extinction of humanity at the hands of rampant robots. At the same time, many pundits see a prosperous future in which self-driving cars reduce highway fatalities , while AI advisors improve medical care and minimize malpractice. Weld argues that the utopian outcome is more likely, but only if we address several key ...
Other chapters in this book offer more technical discussions on some computational intelligence techniques including those that were not reviewed in this chapter. Computational intelligence is a collection of computational models and tools, whose classification, clusterization, optimization, prediction, reasoning, and approximation capabilities have been improved incrementally and continuously. There are already many computational intelligence techniques or combinations of the techniques. It is always ...
The aim of this course is to build on Artificial Intelligence I, first by introducing more elaborate methods for planning within the symbolic tradition, but then by moving beyond the purely symbolic view of AI and presenting methods developed for dealing with the critical concept of uncertainty. The central tool used to achieve the latter is probability theory. The course continues to exploit the primarily algorithmic and computer science-centric perspective that informed Artificial Intelligence I. The course aims to provide further tools and algorithms required to produce AI ...
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A new study, published in Nature by German scientists from Jena and Hamburg, with lead author Prof. Markus Reichstein, managing director at the Max Planck Institute for Biogeochemistry (MPI-BGC) and co-author Prof. Bjorn Stevens, director and head of the department "The Atmosphere in the Earth System" at the Max Planck Institute for Meteorology (MPI-M), shows that artificial intelligence (AI) can help to better understand climate and the Earth system. The scientists show that specifically deep learning has thus far only ...
Intelligent optimization algorithms have advantages in dealing with complex nonlinear problems accompanied by good flexibility and adaptability. In this paper, the FCBF (Fast Correlation-Based Feature selection) method is used to filter irrelevant and redundant features in order to improve the quality of cancer classification. Then, we perform classification based on SVM (Support Vector Machine) optimized by PSO (Particle Swarm Optimization) combined with ABC (Artificial Bee Colony) approaches, which is represented as PA-SVM. The proposed PA-SVM method ...
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In the past decades, several general systems for medical and in particular clinical information extraction have been introduced: MedLEE [3], MEDSYNDIKATE [4], HITEx (Health Information Text Extraction) [6], SeReMed [2], or Apache cTAKES (Clinical Text Analysis and Knowledge Extraction System) [5] - just to name a few. Most of them follow a canonical design of document processing stages. They first segment the document into units like sections, sentences, add part-of-speech tags, and split ...
Join Eminent Scientists, Entrepreneurs and Engineers from Europe, USA (America), Asia Pacific, Middle East to the Artificial Intelligence Conferences and Data Mining Conferences happening from April 16-17, 2018 Las Vegas,USA
Prediction of International Stock Markets Based on Hybrid Intelligent Systems: 10.4018/978-1-4666-8833-9.ch004: This paper compares the accuracy of three hybrid intelligent systems in forecasting ten international stock market indices; namely the CAC40, DAX, FTSE, Hang
Wagman presents a general, unified theory of artificial and human intelligence under which the nature of human reasoning, problem solving, analogical thinking, and scientific discovery is examined from theoretical, research and computational perspectives. The work analyzes foundational issues regarding the nature of intelligent systems and intelligence, and significant and current research in the area is discussed. This book will be of interest to scholars dealing with psychology, ...
BACKGROUND: Pneumonia surveillance is difficult and time-consuming. The definition is complicated, and there are many opportunities for subjectivity in determining infection status. OBJECTIVE: To compare traditional infection control professional (ICP) surveillance for pneumonia among neonatal intensive care unit (NICU) patients with computerized surveillance of chest x-ray reports using an automated detection system based on a natural language processor. METHODS: This system evaluated chest x-rays from 2 ...
The University of West Florida and the Florida Institute for Human & Machine Cognition announce Dr. Kristen "Brent" Venable as the inaugural director of the Ph.D. in Intelligent Systems and Robotics program.. UWF is partnering with IHMC for the program, which begins in Fall 2019. Venable will shape and direct the new program, hire faculty and recruit doctoral students.. "The highly-anticipated doctoral program has found a well-suited leader in Dr. Venable," said UWF President Martha D. Saunders. "Her expertise in artificial intelligence matches well with the programs vision ...
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 ...
EEG data contains high-dimensional data that requires considerable computational power for distinguishing different classes. Dimension reduction is commonly used to reduces the necessary training time of the classifiers with some degree of accuracy lost. The dimension reduction is usually performed on either feature or electrode space. In this study, a new dimension reduction method that reduce the number of electrodes and features using variations of Particle Swarm ...
The Artificial Intelligence (AI) Software Architectures and Algorithms Group is striving to lead the nation in applying AI and machine learning technologies to meet critical national security needs. We are focusing on applications that address counterterrorism, counter human-trafficking, humanitarian assistance and disaster response, protection of the homeland, and global security. In collaboration with industry and academia, we are working at the frontiers of AI to develop prototypes that can help solve national security ...
It is well known that coalmine gas concentration forecasting is very significant to ensure the safety of mining. Owing to the high-frequency, nonstationary fluctuations and chaotic properties of the gas concentration time series, a gas concentration forecasting model utilizing the original raw data often leads to an inability to provide satisfying forecast results. A hybrid forecasting model that integrates wavelet transform and extreme learning machine (ELM) termed as WELM (wavelet based ELM) for coalmine gas concentration is ...
This paper presents a novel application of particle swarm optimization (PSO) in combination with another computational intelligence (CI) technique, namely, proximal support vector machine (PSVM) for machinery fault detection. Both real-valued and binary PSO algorithms have been considered along with.... Full description. ...
In simple terms, a Naive Bayes classifier assumes that the presence of a particular feature in a class is unrelated to the presence of any other feature. For example, a fruit may be considered to be an apple if it is red, round, and about 3 inches in diameter. Even if these features depend on each other or upon the existence of the other features, all of these properties independently contribute to the probability that this fruit is an apple and that is why it is known as Naive.. To understand the naive Bayes ...
Eventbrite - Omni212 presents Pleasanton Neural Networks Training | IT Training | Disruptive Technologies | Artificial Intelligence Training - Monday, December 18, 2017 | Thursday, January 18, 2018 at Instructor Led Online | Video Conference, Pleasanton, CA. Find event and ticket information.
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.
CPAIOR 2017 : Fourteenth International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming
Eventbrite - Six Degrees Ltd presents Artificial Intelligence Conference & Exhibition North America 2017 (29-30 Nov) - Wednesday, 29 November 2017 | Thursday, 30 November 2017 at Santa Clara Convention Center, Santa Clara, CA. Find event and ticket information.
HIGHLIGHTS. All accepted papers will be published by Springer and made available through Springer-Link Digital Library, one of the worlds largest scientific libraries.. CONFERENCE TOPICS. INTELLIGENT COMPUTING AND APPLICATIONS: Artificial intelligence, Quantum computing, Artificial Neural Networks, Self - Organizing, Fuzzy logic, Membrane computing, Evolutionary computation, Learning theory, Probabilistic methods, Image processing Computer vision, Speech recognition, Big data, Evolutionary algorithm, Randomness Monte Carlo methods, Algorithmic probability, Chaos theory, ...
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
Taiyuan, China. October 22-24, 2010. http://www1.nuc.edu.cn/iccasm/index.html. 2010 International Conference on Computer Application and System Modeling (ICCASM 2010) is the premier forum for the presentation of new advances and research results in the fields of theoretical, experimental, and applied Computer Application and System Modeling. The conference proceeding will be published by IEEE CPS, which will be included in the IEEE Xplore, and will be indexed by Ei Compendex and ISI Proceeding. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. ...
Theories of Common Sense (probability, evidence, fuzzy logic) Session Five: The Contribution of Information Science: Artificial Intelligence and Neural Networks Artificial Intelligence views the mind as a symbol processor, which is a variation on a formal system. Artificial Intelligence has evolved into a formal study of human knowledge, away from the purely logical approach of its beginnings. Today the emphasis is on knowledge processing: a human is "intelligent" not by ...
Abstract. Vegetation fires affect human infrastructures, ecosystems, global vegetation distribution, and atmospheric composition. However, the climatic, environmental, and socioeconomic factors that control global fire activity in vegetation are only poorly understood, and in various complexities and formulations are represented in global process-oriented vegetation-fire models. Data-driven model approaches such as machine learning algorithms have successfully been used to identify and better understand controlling ...
Feature Selection is central to modern data science, from exploratory data analysis to predictive model-building. The â stabilityâ of a feature selection algorithm refers to the robustness of its feature preferences, with respect to data sampling and to its stochastic nature. An algorithm is `unstable if a small change in data leads to large changes in the chosen feature subset. Whilst the idea is simple, quantifying this has proven more challenging---we note numerous ...
Acute coronary syndrome (ACS) is a leading cause of mortality and morbidity in the Arabian Gulf. In this study, the in‐hospital mortality amongst patients admitted with ACS to Arabian Gulf hospitals is predicted using a comprehensive modelling framework that combines powerful machine‐learning methods such as support‐vector machine (SVM), Naïve Bayes (NB), artificial neural networks (NN), and decision trees (DT). The performance of the machine‐learning methods is compared with that of the performance of a commonly used ...
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
Regression analysis is one of methods widely used in prediction problems. Although there are many methods used for parameter estimation in regression analysis, ordinary least squares (OLS) technique is the most commonly used one among them. However, this technique is highly sensitive to outlier observation. Therefore, in literature, robust techniques are suggested when data set includes outlier observation. ...
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 ...
This paper addresses the important issue of Multi-Terminal DC (MTDC) grid control strategy based on the particle swarm optimization (PSO) technique. The MTDC grid is controlled by the concept of vector control, in which the AC currents and voltages are transformed into the rotating directquadrature (d-q) reference quantities which are subsequently used for decoupled control of the active and reactive powers as well as the DC and AC voltages. The paper employs an efficient PSO algorithm for optimal tuning of the controllers parameters in an MTDC grid. In addition, voltage ...
Accurate prediction of antigen presentation by human leukocyte antigen (HLA) class II molecules would be valuable for vaccine development and cancer immunotherapies. Current computational methods trained on in vitro binding data are limited by insufficient training data and algorithmic constraints. Here we describe MARIA (major histocompatibility complex analysis with recurrent integrated architecture; https://maria.stanford.edu/ ), a multimodal recurrent neural network for predicting the likelihood of antigen presentation from a gene of interest in the context of specific HLA class II alleles. In ...
Real-time detection of seizure activity in epilepsy patients is critical in averting seizure activity and improving patients quality of life. Accurate evaluation, presurgical assessment, seizure prevention, and emergency alerts all depend on the rapid detection of seizure onset. A new method of feature selection and classification for rapid and precise seizure detection is discussed wherein informative components of electroencephalogram (EEG)-derived data are extracted and an automatic method is presented using infinite independent component ...
Nitrogen is an essential nutrient for all life forms. The emergence of cells able to transport, catabolize and synthesize a wide variety of nitrogenous compounds has thus been favored by evolutionary selective pressure [1]. As a consequence, the yeast Saccharomyces cerevisiae can use almost 30 distinct nitrogen-containing compounds [1].. Like most unicellular organisms, yeast transports and catabolizes good nitrogen sources in preference to ...
Profile Jan Broersen is associate professor in the Theorectical Philosophy Group in the Department of Philosophy and Religious Studies at Utrecht University. In 2003, he received his Ph.D. in computer science from the VU University Amsterdam. At that same university he was a postdoc in the knowledge representation and reasoning group, before switching to Utrecht University to work as an assistant professor in the Intelligent Systems group at the Department ...
Twitter has become a popular social media service often referred to as a micro- blogging site. The informal nature of Twitter leads to a lot of sentiments being posted and this has made twitter a gold mine for sentiment analysis. In this research work, new ensemble classification methods are proposed for homogeneous ensemble classifiers using bagging and heterogeneous ensemble classifiers using arcing classifier and their ...
Knowledge Representation furthers research on formalisms and tools for semantically precise and computable knowledge representation in relation to biomedicine.. Informaticians working in this area-Biomedical Knowledge Representation and Semantics-are interested in knowledge representation techniques (e.g., frames, semantic network and description logics), biomedical ontologies (e.g., SNOMED CT and Gene Ontology), semantic web representations (e.g., RDF, SKOS and OWL), and technologies. They explore the role of knowledge ...
One of the major limitations of Brain-Computer Interfaces (BCI) is their long calibration time, which limits their use in practice, both by patients and healthy users alike. Such long calibration times are due to the large between-user variability and thus to the need to collect numerous training electroencephalography (EEG) trials for the machine learning algorithms used in BCI design. In this paper, we first survey existing approaches to reduce or suppress calibration time, these approaches being notably based on regularization, ...
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, ...
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 ...
Lung cancer is the commonest type of cancer with the highest fatality rate worldwide. There is continued research that experiments on drug development for lung cancer patients by assessing their responses to chemotherapeutic treatments to select novel targets for improved therapies. This study aims to analyze the anticancer drug sensitivity in human lung cancer cell lines by using machine learning techniques. The data for this analysis is extracted from the National Cancer Institute (NCI). ...
What Is Machine Learning Forensics? Definition Digital Maps and Models: Strategies and Technologies Extractive Forensics: Link Analysis and Text Mining Inductive Forensics: Clustering Incidents and Crimes Deductive Forensics: Anticipating Attacks and Precrime Fraud Detection: On the Web, Wireless, and in Real Time Cybersecurity Investigations: Self-Organizing and Evolving Analyses Corporate Counterintelligence: Litigation and Competitive Investigations A Machine Learning ...
For the past twenty years Judy Dunaway has primarily been known for her numerous works for latex balloons as sound producers, including free improvisations, electronic and multi-media works, sound installations, and compositions. She has presented these works throughout North America and Europe at many important venues, festivals, museums and galleries including the Academy of Media Arts Cologne (Germany), Alternative Museum (NYC), Bang on a Can Festival (NYC), Everson Art ...
In real-world environments, speech often occurs simultaneously with acoustic interference, such as background noise or reverberation. The interference usually leads to adverse effects on speech perception, and results in performance degradation in many speech applications, including automatic speech recognition and speaker identification. Monaural speech separation and processing aim to separate or analyze speech from interference based on only one recording. Although significant progress ...
Despite numerous advances in "omics" research, early detection of ovarian cancer still remains a challenge. The aim of this study was to determine whether attenuated total reflection Fourier-transform infrared (ATR-FTIR) or Raman spectroscopy could characterise alterations in the biomolecular signatures of human blood plasma/serum obtained from ovarian cancer patients compared to non-cancer controls. Blood samples isolated from ovarian cancer patients (n = 30) and healthy controls (n = 30) were analysed using ATR-FTIR ...
The gold standard for cystic fibrosis (CF) diagnosis is the determination of chloride concentration in sweat. Current testing methodology takes up to 3 h to complete and has recognized shortcomings on its diagnostic accuracy. We present an alternative method for the identification of CF by combining desorption electrospray ionization mass spectrometry and a machine-learning algorithm based on gradient boosted decision trees to analyze perspiration samples. This process takes ...
Content-Based Image Retrieval (CBIR) from a large database is becoming a necessity for many applications such as medical imaging, Geographic Information Systems (GIS), space search and many others. However, the process of retrieving relevant images is usually preceded by extracting some discriminating features that can best describe the database images. Therefore, the retrieval process is mainly dependent on comparing the captured features which depict the most important ...
This paper studies the application of radial basis functions to predict nitrogen oxides 24 hours in advance. The forecast interval was chosen for practical regulatory reasons. The two study areas are in Valencia (Spain), where these pollutants have reached critical levels, and there has been a significant connection between them and several health problems. The models use as inputs hourly nitrogen oxides concentrations, traffic, meteorological data, and periodic components (sine and ...
Lec 11 part 2 - Acute upper airway obstruction | Respiratory Tract | Larynx Endotracheal tube defects: Hidden causes of airway obstruction HUNTER??S SYNDROME: A STUDY IN AIRWAY OBSTRUCTION Pulse steroid therapy in acute airway obstruction in relapsing polychondritis Primary exophytic laryngeal amyloidosis presenting as sudden airway obstruction Airway Obstruction and the Unilateral Cleft Lip and Palate Deformity: Contributions by the Bony Septum The role of FEV 6 in the detection of airway obstruction Obstructive sleep apnea: from simple ...
Automatic image annotation (also known as automatic image tagging or linguistic indexing) is the process by which a computer system automatically assigns metadata in the form of captioning or keywords to a digital image. This application of computer vision techniques is used in image retrieval systems to organize and locate images of interest from a database. This method can be regarded as a type of multi-class image classification with a very large number of classes - ...
Microbial communities in our built environments have great influence on human health and disease. A variety of built environments have been characterized using a metagenomics-based approach, including some healthcare settings. However, there has been no study to date that has used this approach in pre-hospital settings, such as ambulances, an important first point-of-contact between patients and hospitals. We sequenced 398 samples from 137 ambulances across the ...
The past 20 years have seen a mushrooming growth of the field of computational neuroanatomy. Much of this work has been enabled by the development and refinement of powerful, high-dimensional image warping methods, which have enabled detailed brain parcellation, voxel-based morphometric analyses, and multivariate pattern analyses using machine learning approaches. The evolution of these 3 types of analyses over the years has overcome many challenges. We present the evolution of our work in these 3 directions, which largely follows the evolution of this ...
Understanding how biomolecules interact is a major task of systems biology. To model protein-nucleic acid interactions, it is important to identify the DNA or RNA-binding residues in proteins. Protein sequence features, including the biochemical property of amino acids and evolutionary information in terms of position-specific scoring matrix (PSSM), have been used for DNA or RNA-binding site prediction. However, PSSM is rather designed for PSI-BLAST searches, and it may not contain all the ...
With artificial intelligence, computers learn to do tasks that normally require human intelligence. A new study in JAMA reports on how accurate computer algorithms were at detecting the spread of cancer to lymph nodes in women with breast cancer compared with pathologists video.
As the digital technology advances, especially the data storage and image capturing technologies, more digital images are being created and stored digitally. This led to the creation of large numbers of digital image libraries. Hence, the need forintuitive and effective image storage, indexing, classification and retrieval mechanisms rises. In this paper, an enhancement on the use of color and texture visual features in Content-Based Image Retrieval (CBIR) is proposed by adding a new color feature called Average Color Dominance which tries to enhance color description ...
The beginning of the new millennium was marked by huge development of social networks, internet technologies in the cloud and applications of artificial intelligence tools on the web. Extremely rapid growth in the number of articles on the Internet (blogs, e-commerce websites, forums, discussion groups, and systems for transmission of short messages, social networks and portals for publishing news) has increased the need for developing ...
Lin XH,WangQuancai,Yin PY,et al. A method for handling metabonomics data from liquid chromatography mass spectrometry: combinational use of support vector machine recursive feature elimination, genetic algorithm and random forest for feature selection[J]. Metabolomics,2011,4(待补充):549 ...
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Various studies have been performed in relation to the influence that a number of characteristics of drinking water distribution systems (DWDSs) have on biofilm development. Nevertheless, their joint influence, apart from a few exceptions, has scarcely been studied due to the complexity of the community and the environment. In this paper, we apply various machine learning algorithms based on naïve Bayesian networks. Alternatives for the base naïve Bayesian model to outperform individual performances while maintaining simplicity are ...
Description Logic is a formalism that is widely used in the framework of Knowledge Representation and Reasoning in Artificial Intelligence. It is based on Classical Logic in order to guarantee the correctness of the inferences on the required reasoning tasks. It is indeed a fragment of First Order Predicate Logic whose language is strictly related to the one of Modal Logic. Fuzzy Description Logic is the generalization of the classical Description Logic framework thought for reasoning with ...
Because of their predictive power, various healthcare systems are attempting to use available data mining techniques to discover hidden relationships as well as trends in huge data available within the clinical database and convert it to valuable information that can be used by physicians and other clinical decision markers. In general, data mining techniques can learn from what was happened in past examples and model oftentimes non-linear relationships between independent and dependent variables. The resulting model ...
Abstract: This paper presents an automated medicinal plant leaf identification system. The Colour Texture analysis of the leaves is done using the statistical, the Grey Tone Spatial Dependency Matrix(GTSDM) and the Local Binary Pattern(LBP) based features with 20 different colour spaces(RGB, XYZ, CMY, YIQ, YUV, $YC_{b}C_{r}$, YES, $U^{*}V^{*}W^{*}$, $L^{*}a^{*}b^{*}$, $L^{*}u^{*}v^{*}$, lms, $l\alpha\beta$, $I_{1} I_{2} I_{3}$, HSV, HSI, IHLS, IHS, TSL, LSLM and KLT). Classification of the medicinal plant is ...
TY - JOUR. T1 - Accuracy of the Hill-radial basis function method and the Barrett Universal II formula. AU - Nemeth, Gabor. AU - Modis, Laszlo. PY - 2020/1/1. Y1 - 2020/1/1. N2 - Purpose: The aim was to assess the postoperative results of a biometric method using artificial intelligence (Hill-radial basis function 2.0), and data from a modern formula (Barrett Universal II) and the Sanders-Retzlaff-Kraft/Theoretical formula. Methods: Phacoemulsification and biconvex intraocular lens implantation were performed in 186 cataractous eyes. The ...
Microarrays have been useful in understanding various biological processes by allowing the simultaneous study of the expression of thousands of genes. However, the analysis of microarray data is a challenging task. One of the key problems in microarray analysis is the classification of unknown expression profiles. Specifically, the often large number of non-informative genes on the microarray adversely affects the performance and efficiency of ...
The diagnosis of inflammatory bowel disease (IBD) still remains a clinical challenge and the most accurate diagnostic procedure is a combination of clinical tests including invasive endoscopy. In this study we evaluated whether systematic miRNA expression profiling, in conjunction with machine learning techniques, is suitable as a non-invasive test for the major IBD phenotypes (Crohns disease (CD) and ulcerative colitis (UC)). Based on microarray technology, ...
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World by Pedro Domingos Amazon: amazon.com - amazon.co.uk - amazon.de - amazon.fr 3D printing, Albert Einstein, Amazon Mechanical Turk, Arthur Eddington, basic income, Bayesian statistics, Benoit Mandelbrot, bioinformatics, Black Swan, Brownian motion, cellular automata, Claude Shannon: information theory, combinatorial explosion, computer vision, constrained optimization, correlation does not imply causation, creative destruction, crowdsourcing, Danny Hillis, data is the new oil, double helix, Douglas Hofstadter, Erik ...
The nonlinear workbook : chaos, fractals, cellular automata, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, fuzzy logic with C++, java and symbolicC++ programs / Willi-Hans Steeb ; in collaboration with Yorick Hardy, Ruedi ...
Prerequisites: COMP 380/L. A study of the concepts, principles, techniques and applications of data mining. Topics include data preprocessing, the ChiMerge algorithm, data warehousing, OLAP technology, the Apriori algorithm for mining frequent patterns, classification methods (such as decision tree induction, Bayesian classification, neural networks, support vector machines and genetic algorithms), clustering methods (such as k-means algorithm, hierarchical clustering ...
Background: Early risk stratification is important in the management of patients with acute coronary syndromes (ACS).. Objective: To develop a rapidly available risk stratification tool for use in all ACS.. Design and methods: Application of modern data mining and machine learning algorithms to a derivation cohort of 7520 ACS patients included in the AMIS (Acute Myocardial Infarction in Switzerland)-Plus registry between 2001 and 2005; prospective model testing in two validation cohorts.. Results: The most accurate prediction of in-hospital mortality ...
Method of Sequence Optimization for Improved Recombinant Protein Expression using a Particle Swarm Optimization Algorithm - An improved gene sequence optimization method, the systematic optimization method, is described for boosting the recombinant expression of genes in bacteria, yeast, insect and mammalian cells. This general method takes into account of multiple, preferably most or all, of the parameters and factors affecting protein expression including codon usage, tRNA usage, GC-content, ribosome binding sequences, ...

Natural language understanding - WikipediaNatural language understanding - Wikipedia

Natural language understanding (NLU) is a subtopic of natural language processing in artificial intelligence that deals with ... In the 1970s and 1980s the natural language processing group at SRI International continued research and development in the ... History of natural language processing Information extraction Mathematica Natural language programming Natural language user ... Eight years after John McCarthy coined the term artificial intelligence, Bobrows dissertation (titled Natural Language Input ...
more infohttps://en.wikipedia.org/wiki/Natural_language_understanding

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This functional programming language was intended to make concurrent processing more natural and was used to introduce ... and worked for a time at the Stanford Artificial Intelligence Laboratory. With Horace Enea, he designed Compel, an early single ... In the 1970s, from 1973 to 1980, Tesler worked at Xerox PARC, where some of his main projects were the Gypsy word processor and ... "A language design for concurrent processes". AFIPS 68 (Spring) Proceedings of the April 30--May 2, 1968, spring joint computer ...
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Artificial Intelligence Solutions, AI Solutions | SASArtificial Intelligence Solutions, AI Solutions | SAS

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PPT - CHAPTER 10 PowerPoint Presentation - ID:165483PPT - CHAPTER 10 PowerPoint Presentation - ID:165483

Knowledge-Based Decision Support: Artificial Intelligence and Expert Systems. Decision Support Systems and Intelligent Systems ... artificial intelligence . overview of artificial intelligence . artificial intelligence (ai) computers with the ability to ... Natural Language Processing. *Speech Understanding. *Robotics and Sensory Systems. *Computer Vision and Scene Recognition ... 3. Mid 1970s*Several Real Expert Systems Emerge. *Recognition of the Central Role of Knowledge ...
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Artificial intelligence: looking though the Pygmalion Lens | SpringerLinkArtificial intelligence: looking though the Pygmalion Lens | SpringerLink

... natural language processing and so on-and then asks where these might be used. He sees the cultivation of collective ... In the spirit of 1970s AI work of Abelson and Colby at Yale in simulating belief systems, we observe how "The Young Gentlemen ... In the pursuit of a new paradigm of artificial intelligence for common good, we need to reflect on the potential and limits of ... He says that there has been a long tradition of philosophical thought about artificial intelligence that has pushed us into ...
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AI can excel at medical diagnosis, but the harder task is to win hearts and minds firstAI can excel at medical diagnosis, but the harder task is to win hearts and minds first

Using natural language processing of the text reports we double-checked diagnoses such as brain metastases, HER-2-positive ... Scientists in Japan reportedly saved a womans life by applying artificial intelligence to help them diagnose a rare form of ... It took AAPhelp overnight to give a diagnosis, but this was on 1970s computer hardware. ... But efforts to use artificial intelligence, machine learning and big data in healthcare contexts have not been uncontroversial ...
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Rebecca Crowley Jacobson, MD, MS, FACMI | AMIARebecca Crowley Jacobson, MD, MS, FACMI | AMIA

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Geometry.Net - Science: Language And LinguisticsGeometry.Net - Science: Language And Linguistics

Natural Language Analysis, Natural Language Generation, Information Retrieval, IR, Text Categorization, Artificial Intelligence ... Speech And Language Processing A collection of resources in a variety of fields related to text, speech and language processing ... This new science had its origins in the late 1970s as computer scientists, linguists, logicians, philosophers, psychologists, ... Natural Language Processing, NLP, Natural Language Understanding, ...
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Taking Aim: The Problematic Nature of Artificial Intelligence in a Time of Social ConflictTaking Aim: The Problematic Nature of Artificial Intelligence in a Time of Social Conflict

What about the application of AI methods like natural language processing to block slander and prejudice in social media? It ... In the case of the social sciences in the United States for example, back in the 1970s the Democratic Party began to move away ... someone somewhere realized that even the term artificial intelligence is an oxymoron. Because intelligence is not artificial ... Taking Aim: The Problematic Nature of Artificial Intelligence in a Time of Social Conflict William Sims Bainbridge Jan 2, 2019 ...
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A Look at IBMs Watson 5 Years After Its Breathtaking Jeopardy DebutA Look at IBM's Watson 5 Years After Its Breathtaking Jeopardy Debut

It was the first widespread and successful demonstration of a natural language processing computer of its class. Combined with ... Keim writes, "Medical AI is about where personal computers were in the 1970s…The application of artificial intelligence to ... It was the first widespread and successful demonstration of a natural language processing computer of its class. Combined with ... Keim writes, "Medical AI is about where personal computers were in the 1970s…The application of artificial intelligence to ...
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Download Monitoring Nature Conservation In Cultural Habitats: A Practical Guide And Case StudiesDownload Monitoring Nature Conservation In Cultural Habitats: A Practical Guide And Case Studies

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evolution | Theory, Examples, & Facts | Britannica.comevolution | Theory, Examples, & Facts | Britannica.com

See also artificial intelligence: Evolutionary computing.). Darwins notion of natural selection also has been extended to ... The operation of natural selection in populations*Natural selection as a process of genetic change*Selection against one of the ... During the 1970s and 80s it gradually became clear that the molecular clock is not exact; nevertheless, into the early 21st ... This is no more necessary than it is for a language to use a particular combination of letters to represent a particular object ...
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Intelligent design and its criticsIntelligent design and its critics

See also artificial intelligence: Evolutionary computing.). Darwins notion of natural selection also has been extended to ... The operation of natural selection in populations*Natural selection as a process of genetic change*Selection against one of the ... During the 1970s and 80s it gradually became clear that the molecular clock is not exact; nevertheless, into the early 21st ... This is no more necessary than it is for a language to use a particular combination of letters to represent a particular object ...
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Predicting activities of daily living for cancer patients using an ontology-guided machine learning methodology | Journal of...Predicting activities of daily living for cancer patients using an ontology-guided machine learning methodology | Journal of...

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Models of Human Sentence Comprehension in Computational Psycholinguistics - Oxford Research Encyclopedia of LinguisticsModels of Human Sentence Comprehension in Computational Psycholinguistics - Oxford Research Encyclopedia of Linguistics

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The Relationship between Artificial and Second Language LearningThe Relationship between Artificial and Second Language Learning

... methods used in an artificial language learning paradigm matter in terms of engaging natural language learning processes. The ... does a relationship between natural and artificial language learning still hold after controlling for general intelligence? ... The 1960s and 1970s saw a significant shift in the nature of artificial language learning experiments. Exemplified by Reber ( ... Keywords: second language learning, artificial grammar, artificial language learning, classroom learning, language pedagogy, ...
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Open Source Medicine - AdCivOpen Source Medicine - AdCiv

The surprising answer is that even mid-1970s artificial intelligence could. In the 1970s, an A.I. called MYCIN proved itself ... There now exists software that can read and understand natural language quite well; if this is applied to research papers, it ... using existing artificial intelligence to process clinical information can greatly improve clinical outcomes. Imagine for a ... This is where the pattern-recognition abilities of artificial intelligence are required. In the same way that artificial ...
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Book reviews - Cognitive ScienceBook reviews - Cognitive Science

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Give me that good old-fashioned AI | bit-playerGive me that good old-fashioned AI | bit-player

Im committed to the claim that Watson does not understand natural language in the sense of the Turing test, and to the claim ... or GOFAI-the ambitious kind of artificial intelligence that aspired to build a true thinking machine, a system with some deep ... Later in the 1970s, AI entered a time of troubles. When it came back in the 80s, the emphasis had shifted, and the technology ... discuss at greatest length is a process they call "LAT detection." LAT is "lexical answer type": a word or phrase in the clue ...
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Give me that good old-fashioned AI | bit-playerGive me that good old-fashioned AI | bit-player

Im committed to the claim that Watson does not understand natural language in the sense of the Turing test, and to the claim ... or GOFAI-the ambitious kind of artificial intelligence that aspired to build a true thinking machine, a system with some deep ... Later in the 1970s, AI entered a time of troubles. When it came back in the 80s, the emphasis had shifted, and the technology ... discuss at greatest length is a process they call "LAT detection." LAT is "lexical answer type": a word or phrase in the clue ...
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Download Sicherheitseinrichtungen In Chemischen Betrieben 1911Download Sicherheitseinrichtungen In Chemischen Betrieben 1911

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World War Ebooks Catalog - GUWS MedicalWorld War Ebooks Catalog - GUWS Medical

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Question answering - WikipediaQuestion answering - Wikipedia

Artificial intelligence applications. *Natural language processing. *Computational linguistics. *Information retrieval genres. ... natural language text corpus.. The 1970s and 1980s saw the development of comprehensive theories in computational linguistics, ... Hirschman, L. & Gaizauskas, R. (2001) Natural Language Question Answering. The View from Here. Natural Language Engineering ( ... In Proceedings of the 6th Conference on Applied Natural Language Processing, Seattle, WA, May 2000. ...
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  • Genetics , a science born in the 20th century, reveals in detail how natural selection works and led to the development of the modern theory of evolution. (britannica.com)
  • [ 16 ] By the 19th and 20th centuries, artificial beings had become a common feature in fiction, as in Mary Shelley 's Frankenstein or Karel Čapek 's R.U.R. (Rossum's Universal Robots) . (kailashkatheth.com.np)
  • Due to the explosive growth of digital information in recent years, modern Natural Language Processing (NLP) and Information Retrieval (IR) systems such as search engines have become more and more important in almost everyone's work and life (e. (eagc.pw)
  • Within informatics, I really do pay attention to publications like JAMIA, Journal of Biomedical Informatics, Artificial Intelligence in Medicine, Methods of Information Medicine, But I also really value the open access journals like PLoS and BMC. (amia.org)
  • Natural language processing (NLP) is a boon for businesses across industries like finance, law, healthcare, manufacturing, transport, and energy - industries on the lookout for intelligent and comprehensive solutions for automation and orchestration of tasks. (eagc.pw)
  • During question analysis the system attempts to understand what the question is asking and performs the initial analyses that determine how the question will be processed by the rest of the system. (bit-player.org)
  • The system is 240% more powerful than its predecessor and can process 28 types (or modules) of data, compared to just 5 previously. (singularityhub.com)
  • There are three elements in an information-rich medical system, all of which are greatly empowered by information technology: information must be gathered, processed, and communicated. (adciv.org)
  • Even though IBM has doubled down on Watson and had some success, the process of making it practical in the most ambitious sense-like in medicine-is taking a little time. (singularityhub.com)
  • This Natural Language Processing (NLP) tutorial assumes that you already familiar with the basics of writing simple Python programs and that you are generally familiar with Python's core features (data structures, file handling, functions, classes, modules, common library modules, etc. (eagc.pw)
  • Changelog)TextBlob is a Python (2 and 3) library for processing textual data. (eagc.pw)
  • In 1969 Roger Schank at Stanford University introduced the conceptual dependency theory for natural language understanding. (wikipedia.org)
  • The first major accomplishments of artificial social intelligence (ASI) have been in the realm of theory, where these techniques have inspired new theories as well as helping to render existing theories more rigorous. (ieet.org)
  • centre of the theory of evolution as proposed by Charles Darwin and Alfred Russell Wallace were the concepts of variation and natural selection. (britannica.com)
  • This natural study and decision property have Modern Portfolio Theory( Markowitz, CAPM and APT) for low catastrophe. (sermondominical.com)
  • Perhaps the most basic ambiguity in spoken language is the phenomenon of homonyms , words that sound absolutely identical but are actually different words with different meanings. (kurzweilai.net)
  • Winograd continued to be a major influence in the field with the publication of his book Language as a Cognitive Process. (wikipedia.org)
  • providing to the Global Language Monitor, a Web book that does a option half to display how Unfortunately sites are cooled. (sermondominical.com)
  • directly, there has a statistical persecution of presentations who are sensitive as a powerful & but consist gently tell a so natural book. (sermondominical.com)
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  • potentially, this has a process that can identify monumental and concept p if the nationhood of authorized Models are absolute. (hurdorchards.com)
  • It is easier to mind-control and hypnotize people who are bathed in an artificial electromagnetic wave. (aplanetruth.info)
  • [ 8 ] This raises philosophical issues about the nature of the mind and the ethics of creating artificial beings endowed with human-like intelligence, issues which have been addressed by myth , fiction and philosophy since antiquity. (kailashkatheth.com.np)