• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Presentazione di PowerPoint
Presentazione di PowerPoint

... – Facilitate science-industry relationships, in order to favour the use of available skills and the exploitation of research results – Support to networks and aggregations in order to establish critical mass – Focus on scientific excellence ...
Constraint propagation
Constraint propagation

... Modeling Knowledge … and managing it . The LENAT experiment: 15 years of work by 15 to 30 people, trying to model the common knowledge in the word !!!! Knowledge should be learned, not engineered. ...
Artificial Intelligence - UP College of Engineering Library
Artificial Intelligence - UP College of Engineering Library

... study and design of intelligent agents,” where an intelligent agent is a system that perceives its environment and takes actions which maximize its chances of success. John McCarthy, who coined the term in 1956, defines it as “the science and engineering of making intelligent machines.” The field wa ...
Dartmouth Conference: The Founding Fathers of AI Herbert Simon
Dartmouth Conference: The Founding Fathers of AI Herbert Simon

... An attempt will be made to find how to make machines use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves. We think that a significant advance can be made in one or more of these problems if a carefully selected group of scientists wor ...
January 1956 Dartmouth Conference: The Founding Fathers of AI
January 1956 Dartmouth Conference: The Founding Fathers of AI

... An attempt will be made to find how to make machines use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves. We think that a significant advance can be made in one or more of these problems if a carefully selected group of scientists wor ...
Artificial Intelligence and Science Fiction
Artificial Intelligence and Science Fiction

... conducted with a smaller class size; students will be able to clarify concepts and to have a deeper understanding of the lecture material; problems and application examples are given and discussed. ...
Introduction to AI
Introduction to AI

... “I would like some dream and sugar in my coffee” o background noise, other speakers, accents, colds, etc o on normal speech, modern systems are only about 60-70% accurate ...
The History of Artificial Intelligence
The History of Artificial Intelligence

... "DO YOU WANT TO CHEAPEN YOUR OUTPUT? ORDER ROSSUM'S ROBOTS" Some references state that term "robot" was derived from the Czech word robota, meaning "work", while others propose that robota actually means "forced workers" or "slaves." However, as is usually the case with words, the truth of the matte ...
powerpoint
powerpoint

... particular for the labs Lab 1 consists of setting up your agent. It consists of four parts: ...
Powerpoint
Powerpoint

... (ikuni)focusing on AI effects for computer entertainment. John successfully developed a new approach to highlevel control of characters in games and animation. John is the author of numerous technical papers and two books on Game AI, including his new book Artificial Intelligence for Computer Games: ...
Chapter 1: Introduction - United International College
Chapter 1: Introduction - United International College

... • (1956) John McCarthy, Marvin Minsky, Herbert Simon, Allen Newell – start of the field of AI ...
Lecture 01 Part A – Introduction to AI
Lecture 01 Part A – Introduction to AI

... • Credit card providers, banks, mortgage companies use AI systems to detect fraud and expedite financial transactions.  Configuring Hardware and Software • AI systems configure custom computer, communications, and manufacturing systems, guaranteeing the purchaser maximum efficiency and minimum ...
Intelligent System
Intelligent System

... precision, certainty, and rigor. Soft computing is tolerant of imprecision, uncertainty, and partial truth. (Lotfi Zadeh) The primary aim of soft computing is to exploit such tolerance to achieve tractability, robustness, a high level of machine intelligence, and a low cost in practical applications ...
SECOND CALL FOR PAPERS The 14th International Conference
SECOND CALL FOR PAPERS The 14th International Conference

... empower individuals and communities. A number of AI techniques play a key role in responding to these challenges. Artificial Intelligence is extensively used in the development of systems for effective management and flexible and personalized access to large knowledge bases, in the semantic web tech ...
Great Challenge in Building Intelligent Systems – Quo Vadis
Great Challenge in Building Intelligent Systems – Quo Vadis

... human or community which define HI and MI by observation of the process. A good example of changing AMI is piloting a large plane 20 years back and now. AMI is completely different and is a nice example how things are changing towards AMI equal to 0. Some references to MIQ and Autonomity can be foun ...
The MIT Artificial Intelligence Lab
The MIT Artificial Intelligence Lab

... • Design tools that interact in familiar ways • Design tools for the conceptual design stage ...
Lecture 01 Part A - Introduction to AI
Lecture 01 Part A - Introduction to AI

... • Credit card providers, banks, mortgage companies use AI systems to detect fraud and expedite financial transactions.  Configuring Hardware and Software • AI systems configure custom computer, communications, and manufacturing systems, guaranteeing the purchaser maximum efficiency and minimum ...
Knowledge Based Systems - Tennessee Tech University
Knowledge Based Systems - Tennessee Tech University

... • The study of representation and search through which intelligent activity can be enacted on a mechanical device. • The study of problems at which human beings are currently more adept than computers at solving and the translation and improvement of human solutions into forms which can be implement ...
Artificial Intelligence Journal: Deadline for proposals: January 15th
Artificial Intelligence Journal: Deadline for proposals: January 15th

... quested for. Please note that AIJ funds specific activities. For example, “we request funds to support proposal should be submitted at least 6 months before the a conference on X” is not a specific request, while event takes place. Where a proposal is felt to have merit but is not fund“we request tr ...
Organizational Foundations of Information Systems
Organizational Foundations of Information Systems

... • GIS databases consist of sets of information called layers. Each layer represents a particular type of geographic data such as roads, utilities, population, elevation, and so on. The GIS can combine these layers into one image. ...
Building Applied Natural Language Generation System Final Project
Building Applied Natural Language Generation System Final Project

... Natural language generation (nlg) is the subfield of artificial intelligence and computational linguistics that is concerned with the construction of computer systems that can produce understandable texts in English or other human languages from some underlying non-linguistic representation of infor ...
m01-intro
m01-intro

... Robinson's complete algorithm for logical reasoning AI discovers computational complexity Neural network research almost disappears Early development of knowledge-based systems AI becomes an industry Neural networks return to popularity AI becomes a science The emergence of intelligent agents ...
Alan Turing`s Contributions to Artificial Intelligence: Can Machines
Alan Turing`s Contributions to Artificial Intelligence: Can Machines

... intelligence and took an early interest in the question as to whether it is possible for machinery to show intelligent behavior. This talk will summarize Alan Turing’s contributions to the field of artificial intelligence, including the famous “Turing test” designed for verifying computers’ ability ...
Slide 1
Slide 1

... WHAT IS INTELLIGENCE? • It is only a word that people use to name those unknown processes with which our brains solve problems we call hard (Minsky) • Working definitions of what intelligence is must necessarily change through the years. We deal with a moving target which makes it difficult to expla ...
Document
Document

... • First, the planning process uses constraintsatisfaction techniques and creates lists of recommended and contraindicated substructures. Then the generate-and-test procedure uses the lists generated and required to explore only a limited set of structures. Constrained in this way, generate-and-test ...
< 1 ... 112 113 114 115 116 117 118 119 120 ... 143 >

AI winter

In the history of artificial intelligence, an AI winter is a period of reduced funding and interest in artificial intelligence research. The term was coined by analogy to the idea of a nuclear winter. The field has experienced several hype cycles, followed by disappointment and criticism, followed by funding cuts, followed by renewed interest years or decades later. There were two major winters in 1974–80 and 1987–93 and several smaller episodes, including: 1966: the failure of machine translation, 1970: the abandonment of connectionism, 1971–75: DARPA's frustration with the Speech Understanding Research program at Carnegie Mellon University, 1973: the large decrease in AI research in the United Kingdom in response to the Lighthill report, 1973–74: DARPA's cutbacks to academic AI research in general, 1987: the collapse of the Lisp machine market, 1988: the cancellation of new spending on AI by the Strategic Computing Initiative, 1993: expert systems slowly reaching the bottom, and 1990s: the quiet disappearance of the fifth-generation computer project's original goals.The term first appeared in 1984 as the topic of a public debate at the annual meeting of AAAI (then called the ""American Association of Artificial Intelligence""). It is a chain reaction that begins with pessimism in the AI community, followed by pessimism in the press, followed by a severe cutback in funding, followed by the end of serious research. At the meeting, Roger Schank and Marvin Minsky—two leading AI researchers who had survived the ""winter"" of the 1970s—warned the business community that enthusiasm for AI had spiraled out of control in the '80s and that disappointment would certainly follow. Three years later, the billion-dollar AI industry began to collapse.Hypes are common in many emerging technologies, such as the railway mania or the dot-com bubble. An AI winter is primarily a collapse in the perception of AI by government bureaucrats and venture capitalists. Despite the rise and fall of AI's reputation, it has continued to develop new and successful technologies. AI researcher Rodney Brooks would complain in 2002 that ""there's this stupid myth out there that AI has failed, but AI is around you every second of the day."" In 2005, Ray Kurzweil agreed: ""Many observers still think that the AI winter was the end of the story and that nothing since has come of the AI field. Yet today many thousands of AI applications are deeply embedded in the infrastructure of every industry."" He added: ""the AI winter is long since over.""
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report