E.A. Feigenbaum and J. Feldman (Eds.). Computers and Thought. McGraw-Hill, 1963. This collection includes twenty classic papers by such pioneers as A. M. Turing and Marvin Minsky who were behind the pivotal advances in artificially simulating human thought processes with computers. All Parts are available as downloadable pdf files; most individual chapters are also available separately. COMPUTING MACHINERY AND INTELLIGENCE. A. M. Turing. CHESS-PLAYING PROGRAMS AND THE PROBLEM OF COMPLEXITY. Allen Newell, J.C. Shaw and H.A. Simon. SOME STUDIES IN MACHINE LEARNING USING THE GAME OF CHECKERS. A. L. Samuel. EMPIRICAL EXPLORATIONS WITH THE LOGIC THEORY MACHINE: A CASE STUDY IN HEURISTICS. Allen Newell J.C. Shaw and H.A. Simon. REALIZATION OF A GEOMETRY-THEOREM PROVING MACHINE. H. Gelernter. EMPIRICAL EXPLORATIONS OF THE GEOMETRY-THEOREM PROVING MACHINE. H. Gelernter, J.R. Hansen, and D. W. Loveland. SUMMARY OF A HEURISTIC LINE BALANCING PROCEDURE. Fred M. Tonge. A HEURISTIC PROGRAM THAT SOLVES SYMBOLIC INTEGRATION PROBLEMS IN FRESHMAN CALCULUS. James R. Slagle. BASEBALL: AN AUTOMATIC QUESTION ANSWERER. Green, Bert F. Jr., Alice K. Wolf, Carol Chomsky, and Kenneth Laughery. INFERENTIAL MEMORY AS THE BASIS OF MACHINES WHICH UNDERSTAND NATURAL LANGUAGE. Robert K. Lindsay. PATTERN RECOGNITION BY MACHINE. Oliver G. Selfridge and Ulric Neisser. A PATTERN-RECOGNITION PROGRAM THAT GENERATES, EVALUATES, AND ADJUSTS ITS OWN OPERATORS. Leonard Uhr and Charles Vossler. GPS, A PROGRAM THAT SIMULATES HUMAN THOUGHT. Allen Newell and H.A. Simon. THE SIMULATION OF VERBAL LEARNING BEHAVIOR. Edward A. Feigenbaum. PROGRAMMING A MODEL OF HUMAN CONCEPT FORMULATION. Earl B. Hunt and Carl I. Hovland. SIMULATION OF BEHAVIOR IN THE BINARY CHOICE EXPERIMENT Julian Feldman. A MODEL OF THE TRUST INVESTMENT PROCESS. Geoffrey P. E. Clarkson. A COMPUTER MODEL OF ELEMENTARY SOCIAL BEHAVIOR. John T. Gullahorn and Jeanne E. Gullahorn. TOWARD INTELLIGENT MACHINES. Paul Armer. STEPS TOWARD ARTIFICIAL INTELLIGENCE. Marvin Minsky. A SELECTED DESCRIPTOR-INDEXED BIBLIOGRAPHY TO THE LITERATURE ON ARTIFICIAL INTELLIGENCE. Marvin Minsky.
What if I told a story here, how would that story start?" Thus, the summarization prompt: "My second grader asked me what this passage means: …" When a given prompt isn't working and GPT-3 keeps pivoting into other modes of completion, that may mean that one hasn't constrained it enough by imitating a correct output, and one needs to go further; writing the first few words or sentence of the target output may be necessary.
IBM Watson has talked tennis with Serena Williams and music with Bob Dylan. Now it wants to talk to you -- via online ads. The Weather Company, acquired by IBM in January, will begin bringing Watson-enhanced interactive advertisements to The Weather Channel and Weather Underground apps on Android and iOS and to weather.com and wunderground.com The ads, powered by Watson's artificial intelligence, will prompt consumers to ask questions such as "What would be good to cook for dinner?" or "Is this medicine safe for my child?" The first companies with Watson-enabled ads will be Campbell Soup, GSK Consumer Healthcare and Unilever.
IBM (NYSE: IBM) and the United States Tennis Association (USTA) today announced that IBM Watson is coming to the US Open Tennis Championships for the first time via a new cognitive concierge feature being piloted within the tournament's official mobile apps to enhance the fan experience at the Billie Jean King National Tennis Center. The US Open mobile app Guest Services companion will pilot a Watson-enabled discovery tool that allows fans to input natural language questions and receive immediate responses about a range of tournament topics, such as transportation and directions, food and drink options, on-site services and facilities, as well as other topics. By tapping into the Natural Language API from the Watson platform, the AI-infused app will enable fans to ask questions in natural language and get the information they need to plan and navigate their tournament experience. For example, fans can ask questions like, "Where can I get a soda?" or "Where are the taxi stands?" Due to Watson's machine learning capabilities, the app also continuously learns from previous interactions helping further refine its responses over time.
Amazon and Google always thrive in the fourth quarter as people get out their wallets for Christmas. Both companies – or in Google's case, its parent group, Alphabet – are therefore expected to announce booming revenues in their fourth-quarter results over the next fortnight, with Alphabet going first on Thursday and Amazon the following week. But analysts are already looking beyond the simple question of how many cardboard boxes Amazon filled and how many searches Google answered. They're wondering which company will win the battle to control your home. That battle is being fought by two carafe-sized cylinders from the respective companies.