Redirecting To /index.htm The program is broad and rigorous with courses in algorithms, data structures, logic, programming languages, scientific computing, systems, and theory, artificial intelligence, computer graphics, computer vision, databases, multimedia, and networks. http://www.cs.cornell.edu/cucs/
Dept. Of Artificial Intelligence And Computer Science Nagoya Institute of Technology Dept. of artificial intelligence and computer science. Japanese Version People. Laboratories . Itoh Laboratory http://www.ics.nitech.ac.jp/index-e.html
Untitled Document Software development and design, multimedia computing, artificial intelligence, and computer vision. B.A. and M.A. programs as well as internship opportunities. http://www.american.edu/academic.depts/cas/department_cap.shtml
Extractions: Online Degrees Computer Science and Engineering Degree Title: M.S. in Computer Science - Artificial Intelligence College: Walden University Description: In the M.S. in Computer Science program, students develop an advanced body of knowledge in the design, analysis, and implementation of algorithmic processes that transform raw data into valuable information. This program takes a non-engineering approach to computing with the primary emphasis on software, operating systems, and programming languages. The ultimate goal of artificial intelligence (AI) research is to develop machines capable of thinking in a manner similar to (or better than) humans. From systems that can provide expert diagnoses and recommendations in a variety of application domains (such as medicine and finance), to systems that can modify their behavior based on learning (such as computer games and intelligent controllers for household appliances), AI techniques are an integral part of modern product design. Students selecting this specialization can study foundational material on artificial intelligence as well as the use of AI techniques in several areas. Accreditation: Walden University is accredited by the Higher Learning Commission and is a member of the North Central Association.
ICSI: Applications Group and extensive interaction with other computer science techniques and theory. The ICSI artificial intelligence Group consists of the following http://www.icsi.berkeley.edu/Applications/
Extractions: The tasks studied in Artificial Intelligence Group (A.I.) are of enormous practical and scientific importance and have proven to be quite difficult for conventional programming techniques. Human brains evolved to excel at vision, motor control, speech, language understanding and so on, and are much better at these tasks than artificial systems. The ICSI A.I. Group effort, along with many others, is exploring the possibility that computational models and techniques based on natural intelligence will prove useful in applications tasks. The ICSI project differs from most others in its emphasis on structured networks, strong methods that exploit scientific knowledge and extensive interaction with other computer science techniques and theory. The AI Group is led by Professor Srini Narayanan, an Adjunct Professor of Cognitive Science at UC Berkeley. Group Members The ICSI Artificial Intelligence Group consists of the following sub-groups (in alphabetical order): The FrameNet project is building a machine-readable lexicon, with detailed semantic descriptions of a substantial portion of the English vocabulary, for use both by NLP systems and people, in which each entry is coded for computational use, described in terms of its semantic and syntactic combinatorial properties, provided with corpus-based data on the relative frequencies of its senses and valence alternatives, and linked to annotated corpus examples.
Extractions: AI in design webliography / Dave Brown AI, Cognitive Science and Robotics / Uwe R. Zimmer , Stephanie Warrick, University College London AIRG AI Webliography / David C. Brown AIRG multi-agent systems webliography / David C. Brown ... Universiteit Maastricht - Dept. of Computer Science / Universiteit Maastricht - Dept. of Computer Science
The Goddard Library - Subject Guides: Artificial Intelligence SCOPE AND SIGNIFICANCE The term artificial intelligence or AI denotes the Since the beginning of the computer science field researchers have been http://library.gsfc.nasa.gov/SubjectGuides/ai.htm
Extractions: SCOPE AND SIGNIFICANCE: The term artificial intelligence or AI denotes the concept of machines capable of intelligent thought. Since the beginning of the computer science field researchers have been working on developing machines capable of performing higher intellectual processes which are characteristically human. Such tasks include; the ability to reason, discover meaning, generalize, or learn from past experience. Within the AI field are a multitude of interwoven subfields which include: expert systems, genetic algorithms or evolutionary computation, image understanding, information navigation and retrieval, intelligent agents, intelligent assistance, knowledge sciences, logic, natural language recognition, neural networks, planning and scheduling, reasoning, robotics, and rule-based systems. BOOKS on the subject can be found in the Library's online catalog Goddard GALAXIE . Select one of the following subject terms for immediate results: artificial intelligence knowledge engineering machine learning expert systems ... robotics JOURNALS
Computer Science Department The computer science areas of networking, database design, CPSC 481 artificial intelligence Fall 2005 , Summer 2005 , Spring 2005 http://www.fullerton.edu/catalog/academic_departments/cpsc.asp
Extractions: The undergraduate computer science program at Cal State Fullerton offers students a comprehensive foundation that will permit them to adapt to new technologies and new ideas. The program spans a wide range, from its theoretical and algorithmic foundations to cutting-edge developments in bioinformatics, communications systems, databases, robotics, intelligent systems, software engineering, and other exciting areas.
Extractions: Skip to content case.edu: Navigation Search Search You are here: Home Academics Undergraduate Programs Computer Science Concentration Areas for CS Majors Document Actions Computer Science (CS) majors can use their electives to form concentrations in areas related to CS. The BS/CS program has 5 technical electives and 4 open electives and the BA/CS program has many more electives which gives the student considerable flexibility. This document lists a number of possible concentration areas together with courses in each area. Some of these courses are required for CS majors because they need at least some background in many of the listed areas. Taking additional courses in an area will give them additional background in the area. Normally a student will not take all of the courses listed for an area, but rather only those courses which best meet his/her educational objectives. Thus, this document is intended to help CS majors formulate programs of study that will meet their education objectives, recognizing that these objectives may change as students progress though the programs. Software Engineering EECS 325 Computer Networks I EECS 337 Systems Programming (Required) EECS 338 Operating Systems (Required) EECS 341 Introduction to Database Systems (Required)
Extractions: Search: News DBAI is a co-organizer of the Workshop on Graph and Hypergraph Decompositions DBAI participates in Semantic Web School Nysret Musliu is a guest co-editor of special issues of the Journal of the Operational Research Society (JORS) and the Journal of Mathematical Modelling and Algorithms (JMMA) on Advanced Hybrid Meta-Heuristics Prof. Georg Gottlob elected full member of the Austrian Academy of Sciences Gottlob gives invited talk at the ACM PODS in Paris and at the IJCAR in Cork. 1.3.2004: Start of REWERSE EU Project of which TU Wien is a member. Jürgen Dorn leads new horizontal head project at Prof. Georg Lausen (Univ. Freiburg) is appointed visiting Professor at our institute and teaches "Semistrukturierte Daten 2" this semester.
George Luger George Luger has been a Professor in the UNM computer science Department since artificial intelligence and Soft Computing Proceedings of the IASTED http://www.cs.unm.edu/~luger/
Extractions: FEC 349E His AI book, Artificial Intelligence: Structures and Strategies for Complex Problem Solving (Addison-Wesley 2005) is now into its fifth edition. To get the software for any of Professor Luger's books, please select the FTP site address under the appropriate book below. For instructors using the Fourth or Fifth Edition of the AI book, an Instructors Guide and Power Point presentation slides are available from Addison Wesley and Pearson Education:
Artificial Intelligence: UNM Computer Science artificial intelligence is that branch of computer science that designs and builds programs to automate those behaviors that, when seen in humans, http://www.cs.unm.edu/research/artificial_intelligence/
Extractions: Home Research Artificial Intelligence Artificial Intelligence is that branch of Computer Science that designs and builds programs to automate those behaviors that, when seen in humans, are called "intelligent". This area of research has been important in computing at least since the design of the computer itself. Research and courses in Artificial Intelligence have been a part of the UNM curriculum for more than twenty-five years. The book Artificial Intelligence: Structures and Strategies for Complex Problem Solving (Luger 2005) reflects our general approach. Select Research Projects to find more detailed information on the UNM AI research. This work lies largely within what are sometimes called the symbol based, learning, and stochastic components of AI. The primary research in Artificial Intelligence at UNM is in the labs of Professors Lane and Luger . Current research focuses on symbol/stochastic hybrid systems, Bayesian modeling, time-series analysis, reinforcement learning, control and decision-making, relational learning, and developing first-order systems for diagnostics and prognostics. Our current application areas include security, bioinformatics, neuroimaging (with focus on understanding the neural substrates of learning), robotic navigation, streaming media, user modeling, and the real time diagnosis of complex mechanical environments.
University Of Michigan AI Lab Home College of Engineering computer science and Engineering Division The artificial intelligence (AI) program at the University of Michigan comprises a http://ai.eecs.umich.edu/
Extractions: The Artificial Intelligence (AI) program at the University of Michigan comprises a multidisciplinary group of researchers conducting theoretical, experimental, and applied investigations of intelligent systems. Current projects include research in rational decision making, distributed systems of multiple agents, machine learning, cognitive modeling, design, collaboration technology, natural language processing, real-time and intelligent dynamical control, autonomous and tele-autonomous robotic systems, computer vision, and digital libraries. The faculty and graduate students of the Artificial Intelligence Laboratory are housed in the Advanced Technology Laboratories Building, on the University's North Campus. Despite their varied interests, the members shared sense of adventurous research draws them together. This sense of common purpose is facilitated by the Lab's emphasis on moving graduate students into active research as soon as possible. Read more
Extractions: Skip navigation Home Collection Home Search ... About Documents Visuals Computer science and molecular biology both developed during the two decades after World War II. Geneticists like Joshua Lederberg were the first to link the two disciplines. Francis Crick and Marshall Nirenberg, for instance, drew on information theory and the principles of computing to decipher the genetic code in the 1950s and 1960s. Lederberg himself not only borrowed concepts but entered the field of computer science itself, staking out a new area of scientific research: the acquisition, systematization, visualization, and dissemination of biomedical knowledge by computer. Computer science, information theory, and biology continue to influence one another today, as neuroscientists use computers to model the human brain, and as computer designers draw on molecular and neurobiology to devise neural networks and molecular computers. Lederberg's goal in introducing computers into biomedical research was to aid researchers and physicians in problem-solving, decision-making, and diagnostic processes requiring analysis of a large amount of instrument and clinical data. He envisioned expert, or knowledge-based, computer systems that could emulate the inductive reasoning of scientists and doctors, as well as their ability to learn from experience, through artificial intelligence. Under Lederberg's initiative, Stanford University during the 1960s and 1970s moved to the forefront of this undertaking, which was joined by a small number of research institutions and private businesses around the country and in western Europe.
Resources Of Scholarly Societies - Computer Science Links to websites of scholarly societies in computer science are given below. broken once, International artificial intelligence in Education Society http://www.scholarly-societies.org/compsci_soc.html
Extractions: Last Updated: 2005, February 14 Computer Science www.scholarly-societies.org/compsci_soc.html This is one of a set of subject pages in the Scholarly Societies Project , which facilitates access to websites of scholarly societies across the world. A set of guidelines is used in determining whether to include resources. Links to websites of scholarly societies in Computer Science are given below. The URL-Stability Index for this collection of Computer Science sites is 215.0/234 = . The URL-stability index for each site below is given graphically in the left-hand column as the URL-stability rank for that site. URL Stability Rank Society Name Abbrev. American Association for Artificial Intelligence AAAI American Association for History and Computing AAHC American Medical Informatics Association AMIA American Society for Cybernetics ASC American Society for Information Science ASIS American Society for Precision Engineering ASPE Arbeitsgemeinschaft Simulation = Working Group on Simulation ASIM Asia Pacific Bioinformatics Network [In English.] APBioNet [In Spanish.]
Artificial Intelligence - Wikipedia, The Free Encyclopedia of science fiction to refer to that which exhibits artificial intelligence as But satisfactory computational models for animal intelligence are not http://en.wikipedia.org/wiki/Artificial_intelligence
Extractions: Artificial intelligence GOFAI State space search Automated planning Combinatorial search ... Knowledge-based systems Connectionism Neural networks Artificial life Distributed AI Genetic programming ... Pattern recognition Fuzzy systems Fuzzy logic Fuzzy electronics Philosophy Strong AI Artificial consciousness Turing test Artificial intelligence (also known as machine intelligence and often abbreviated as AI ) is intelligence exhibited by any manufactured (i.e. artificial ) system. The term is often applied to general purpose computers and also in the field of scientific investigation into the theory and practical application of AI. "AI" the term is often used in works of science fiction to refer to that which exhibits artificial intelligence as well, as in "the AI" referring to a singular discrete or distributed mechanism. Modern AI research is concerned with producing useful machines to automate human tasks requiring intelligent behavior. Examples include: scheduling resources such as military units, answering questions about products for customers, understanding and transcribing speech, and recognizing faces in CCTV cameras. As such, it has become an
Artificial Intelligence One important artificial intelligence research direction at the Beckman Institute Humancomputer Intelligent Interaction artificial intelligence http://www.beckman.uiuc.edu/research/hcii/ai.html
Extractions: AI Resources AI Faculty The Artificial Intelligence group pursues a broad range of topics spanning robotics, vision, knowledge representation, learning, image processing, scheduling, reasoning, decision and information systems, and natural language processing. Group Leader: Jean A. Ponce Another important research thrust examines how computers interact with humans and how that interaction can be made more effective through intelligence on the part of the computer. Computers will be more easily accepted and more useful as tools as they behave more appropriately and predictably when in collaboration with humans. At the Institute, mobile robots, robotic arms, and various sensing devices are used to integrate sensing, planning, navigation, and autonomous plan execution. One project applies the constraint approach to planning finger grasps for dexterous manipulators. In a more logic-oriented approach to constraining inference, Beckman researchers are applying learning to the task of planning in several real-world domains. Robotic grasping and manufacturing process planning are characterized by uncertainty, complexity, and resistance to conventional formalization. Computer recognition of human faces is also under study. This is particularly challenging when the perceived image is not explicitly present in the database. Knowledge of prior views of a person and the system's general internal 3-D model of the human head must be combined. Face recognition promises many useful applications, including access control, credit card identification, and law enforcement. In a related project, Beckman researchers are investigating ways to infer 3-D shape and layout of scenes from visual cues, including texture changes, motion, and stereo differences. Spatial and temporal understanding allows development of schemes for representation, navigation, and animation. These schemes relate to structures and mechanisms that have evolved biologically, such as eye movements, eye accommodation, peripheral vision, and foveal acuity.
