Computers and Thought

Classics

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.


The Professional Conversations That Defined 2017

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Over the last 12 months, we've seen some incredibly stirring and thoughtful conversations from our members on LinkedIn about hot topics like the opioid crisis, immigration reform, the U.S. tax bill, healthcare coverage and harassment cases. These events sparked hundreds of thousands of insightful comments from professionals on LinkedIn around the world -- and will certainly have lasting consequences for years to come. Amazon has become a kind of corporate obsession in 2017. Companies big and small are watching the retailer: A review of last quarter's earnings calls shows that Amazon's name came up almost four times as often as President Trump's, and six times as often as wages. Amazon's moves this year proved that it's corporate tentacles are expanding, from purchasing Whole Foods to searching for its HQ2, a $5 billion project that promises to bring 50,000 high-paying jobs to the winning locale.


Idx raises $33 million for AI diagnostic systems that detect eye disease and other conditions

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Artificial intelligence (AI) is emerging as a key tool in just about every industry, from marketing to recruitment and beyond. But one particularly powerful application for AI is in health care, where we're already seeing early signs of its potential. Iowa-based Idx is one startup using AI to detect early signs of specific medical conditions. Its first system, IDx-DR, is an AI diagnostic system that analyzes images of the retina for signs of diabetic retinopathy, a complication of diabetes caused by high sugar levels. This means that health care providers, including doctors who are not eye care specialists, can use the IDx-DR system to detect diabetic retinopathy without needing to bring in a specialist clinician to interpret the image scan or results.


Global Artificial Intelligence (AI) in Agriculture Market, Providing Precision Farming Techniques to Reduce Production Cost and Chemicals, is expected to witness CAGR of 24.3%, by 2024: Energias Market Research Pvt. Ltd. - EconoTimes

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The Global Artificial Intelligence in Agriculture (AIA) Market is expected to grow at a significant CAGR of 24.3% during the forecast period. The factors driving the growth of the global AIA market are rising adoption of information management systems (IMS), automated irrigation, increasing crop productivity by implementing deep learning techniques, and increasing global population. Furthermore, growing trend of precision farming and increasing adoption of smart sensors are also fueling the demand of the global AIA market. Replacement of human labor is also expected to overcome by AIA, to minimize scarcity of physical labor. However, the high cost of collecting data of agricultural land is a major restraint of the AIA market growth.


10 things in tech you need to know today

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This is the tech news you need to know this Thursday. News of this deal comes just four months after President Trump blocked Broadcom from acquiring chipmaker Qualcomm in a $103 billion hostile takeover on national security grounds. The new terms give Facebook explicit permission to audit developers' use of data, in what looks an effort to prevent a second Cambridge Analytica-style scandal. Musk was responding to a Twitter user who said he had been told Musk wouldn't be able to help bring clean water to Flint. According to an excerpt of the account in Vanity Fair, employees feared Brin's behaviour would lead to a sexual harassment lawsuit.