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21st-Century AI
21st-Century AI

... In other work, the AI field has generated many mature tools that are easily used, well documented, and well understood. For example, late last year, one of my undergraduate research assistants mentioned nonchalantly that he’d just run some data through four different data miners! That student was ha ...
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... it is through interaction with the environment that it learns to use these capabilities. You have all seen this in your own experience, from a small child learning not to touch a hot stove, to the many hours of training that lead to the expertise of a chess grandmaster or a surgeon. In the early day ...
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... This report concerns my visit to the Robotics Institute, School of Computer Science, Carnegie Melon University, hosted by Fernando De La Torre, Fall 2012. During this visit I accompanied two courses, both of them on Machine Learning, i.e., the 10-601 (for undergraduate) and the 10-701 (for graduate ...
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lec1-aug28-09 - Computer Science Department : Sonoma State

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CS3014: Artificial Intelligence INTRODUCTION TO ARTIFICIAL
CS3014: Artificial Intelligence INTRODUCTION TO ARTIFICIAL

... 1950’s & 60’s - Minsky’s book on “Perceptrons” stops nearly all work on nets 1986 - rediscovery of solutions leads to massive growth in neural nets research The UK had its own funding freeze in 1973 when the Lighthill report reduced AI work severely Lesson: Don’t claim too much for your discipline!! ...
CS3014: Artificial Intelligence INTRODUCTION TO ARTIFICIAL
CS3014: Artificial Intelligence INTRODUCTION TO ARTIFICIAL

... 1950’s & 60’s - Minsky’s book on “Perceptrons” stops nearly all work on nets 1986 - rediscovery of solutions leads to massive growth in neural nets research The UK had its own funding freeze in 1973 when the Lighthill report reduced AI work severely Lesson: Don’t claim too much for your discipline!! ...
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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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