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CSC 480: Artificial Intelligence - An
CSC 480: Artificial Intelligence - An

... BABY STEPS (LATE 1950S) of programs solving simple problems that require some intelligence ...
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news summary (20)

... University of Toronto. They are named after Terry Winograd, a pioneer in the field and a professor at Stanford University who built one of the first conversational computer programs. The challenge was proposed in 2014 as an improvement on the Turing Test. Alan Turing, a forefather of computing and a ...
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... The course aims at giving students an insight into artificial intelligence as an evolving field. It covers background material, applications of artificial intelligence, central problems of artificial intelligence, knowledge representation, control and inference. The course then focuses on search alg ...
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... – Over the past five decades, AI research has mostly been focusing on solving specific problems. Numerous solutions have been devised and improved to do so efficiently and reliably. – This explains why the field of Artificial Intelligence is split into many branches, ranging from Pattern Recognition ...
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Resources - CSE, IIT Bombay

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... Engineering: To get machines to do a wider variety of useful things – e.g., understand spoken natural language, recognize individual people in visual scenes, find the best travel plan for your vacation, etc. Cognitive Science: As a way to understand how natural minds and mental phenomena work – e.g. ...
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... AOLiza: perhaps i already know you were possesive and controlling. five: i was huh you nuts i gave her all the room she wanted never told nhewre what to do or where to go ...
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... Eliza was one of the first attempts to write a program which could hold a conversation with a human. It was written by Joseph Weizenbaum in 1966 and is still popular today. The intention was to create a computer psychologist that could respond to people’s problems by talking them through. ...
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... The 2nd Workshop on Popularize Artificial Intelligence (PAI 2013) follows the successful experience of the 1st edition, held in Rome 2012 to celebrate the 100th anniversary of Alan Turing’s birth. It is organized as part of the XIII Conference of the Italian Association for Artificial Intelligence ( ...
Resources - CSE, IIT Bombay
Resources - CSE, IIT Bombay

... the sapience of Homo sapiens—can be so precisely described that it can be simulated by a machine.[5] This raises philosophical issues about the nature of the mind and limits of scientific hubris, issues which have been addressed by myth, fiction and philosophy since antiquity.[6] Artificial intellig ...
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Cyberarts2002 - SIUE Computer Science

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... History of AI 1943 – W. McCulloch and W. Pitts designed the first neural network. M. Minsky and D. Edmonds built the first one in 1951 at Princeton. 1950 – A. Turing, "Computing Machinery and Intelligence". 1956 – J. McCarthy organized a workshop at Darmouth where the name of AI was officially adop ...
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... better evidence of intelligence than required of people  Moving Standard: the criterion for success changes each time it is met  Circular Definition: definition of intelligence requires it to be in humans ...
Artificial Intelligence - Mathematics and Computer Science
Artificial Intelligence - Mathematics and Computer Science

... iii. computer is said to have superior intelligence if the interrogator is fooled iv. If the computer acts intelligently then it is intelligent iv. Modern 1. no consensus as to what is AI 2. Definitions: a. Minsky – “AI is the science of making machines do things that would require intelligence if ...
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... This course covers basic artificial intelligence topics such as knowledge representation, searching, and learning. The topics and the related techniques will be taught using the Prolog language as a medium. First, the concept of declarative programming will be given. Following this, the widely-used ...
AI and Intelligent Systems
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... with diseases, from interviews with doctors – Financial analysis: rules for evaluating credit score, solvency of company, equity-to-debt ratio, sales trends, barriers to entry – Tutoring – rules for interpreting what a student did wrong on a problem and why, taxonomy of ...
What is your definition of AI?
What is your definition of AI?

... AI field, making students understand what the field of AI is, what its history is, and what roles AI plays in our human life and society, and understand basic principles and techniques. ...
Lecture Notes CS405 Introduction to AI What is Artificial Intelligence
Lecture Notes CS405 Introduction to AI What is Artificial Intelligence

... Physical symbol hypothesis states: The thinking mind consists of the manipulation of symbols. That is, a physical symbol system has the necessary and sufficient means for general intelligent action. If this hypothesis is true, then it means that a computer (which merely manipulates symbols) can perf ...
Dartmouth College Artificial Intelligence Conference
Dartmouth College Artificial Intelligence Conference

... Fifty years ago, pioneer AI researchers gathered on this campus for their first-ever meeting in 1956, convening the Dartmouth Summer Research Project on Artificial Intelligence. The term itself had to be coined by John McCarthy, then a Dartmouth math professor, to apply for a grant to fund the origi ...
ders1
ders1

... Conventional AI manipulates symbols on the assumption that human intelligence behavior can be stored in symbolically structured knowledge bases: this is known as: “ The physical symbol system hypothesis” ...
1 - Department of Computer Science
1 - Department of Computer Science

... It’s engineering.” (J. Moore, Wired) ...
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History of artificial intelligence

The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen; as Pamela McCorduck writes, AI began with ""an ancient wish to forge the gods.""The seeds of modern AI were planted by classical philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols. This work culminated in the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain.The field of AI research was founded at a conference on the campus of Dartmouth College in the summer of 1956. Those who attended would become the leaders of AI research for decades. Many of them predicted that a machine as intelligent as a human being would exist in no more than a generation and they were given millions of dollars to make this vision come true. Eventually it became obvious that they had grossly underestimated the difficulty of the project. In 1973, in response to the criticism of James Lighthill and ongoing pressure from congress, the U.S. and British Governments stopped funding undirected research into artificial intelligence. Seven years later, a visionary initiative by the Japanese Government inspired governments and industry to provide AI with billions of dollars, but by the late 80s the investors became disillusioned and withdrew funding again. This cycle of boom and bust, of ""AI winters"" and summers, continues to haunt the field. Undaunted, there are those who make extraordinary predictions even now.Progress in AI has continued, despite the rise and fall of its reputation in the eyes of government bureaucrats and venture capitalists. Problems that had begun to seem impossible in 1970 have been solved and the solutions are now used in successful commercial products. However, no machine has been built with a human level of intelligence, contrary to the optimistic predictions of the first generation of AI researchers. ""We can only see a short distance ahead,"" admitted Alan Turing, in a famous 1950 paper that catalyzed the modern search for machines that think. ""But,"" he added, ""we can see much that must be done.""
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