ken

From the beginning, the world of game-playing by machine has been fortunate in attracting contributions from the leading names of computer science. Charles Babbage, Konrad Zuse, Claude Shannon, Alan Turing, John von Neumann, John McCarthy, Alan Newell, Herb Simon and Ken Thompson all come to mind, and each reader will wish to add to this list. Recently, the Journal has saluted both Claude Shannon and Herb Simon. Ken’s retirement from Lucent Technologies’ Bell Labs to the start-up Entrisphere is also a good moment for reflection

Accelerating innovation with prize rewards: History and typology of technology prizes and a new contest design for innovation in African agriculture

"This paper describes how governments and philanthropic donors could drive innovation through a new kind of technology contest. We begin by reviewing the history of technology prizes, which operate alongside private intellectual property rights and public R&D to accelerate and guide productivity growth towards otherwise-neglected social goals. Proportional “prize rewards” would modify the traditional winner-take-all approach, by dividing available funds among multiple winners in proportion to measured achievement. This approach would provide a royalty-like payment for incremental success. The paper provides concludes with a specific example for how such prizes could be implemented to reward and help scale up successful innovations in African agriculture, through payments to innovators in proportion to the value created by their technologies after adoption. " from authors' abstractProductivity growth, Technology adoption, intellectual property, Agricultural R&D, Innovation,

Computer Chess: From Idea to DeepMind

Computer chess has stimulated human imagination over some two hundred and fifty years. In 1769 Baron Wolfgang von Kempelen promised Empress Maria Theresia in public: “I will invent a machine for a more compelling spectacle [than the magnetism tricks by Pelletier] within half a year.” The idea of an intelligent chess machine was born. In 1770 the first demonstration was given.The real development of artificial intelligence (AI) began in 1950 and contains many well-known names, such as Turing and Shannon. One of the first AI research areas was chess. In 1997, a high point was to be reported: world champion Gary Kasparov had been defeated by Deep Blue. The techniques used included searching, knowledge representation, parallelism, and distributed systems. Adaptivity, machine learning and the recently developed deep learning mechanism were only later on added to the computer chess research techniques.The major breakthrough for games in general (including chess) took place in 2017 when (1) the AlphaGo Zero program defeated the world championship program AlphaGo by 100-0 and (2) the technique of deep learning also proved applicable to chess. In the autumn of 2017, the Stockfish program was beaten by AlphaZero by 28-0 (with 72 draws, resulting in a 64-36 victory). However, the end of the disruptive advance is not yet in reach. In fact, we have just started. The next milestone will be to determine the theoretical game value of chess (won, draw, or lost). This achievement will certainly be followed by other surprising developments.Algorithms and the Foundations of Software technolog

Law and Policy for the Quantum Age

Law and Policy for the Quantum Age is for readers interested in the political and business strategies underlying quantum sensing, computing, and communication. This work explains how these quantum technologies work, future national defense and legal landscapes for nations interested in strategic advantage, and paths to profit for companies

Homo deceptus: How language creates its own reality

Homo deceptus is a book that brings together new ideas on language, consciousness and physics into a comprehensive theory that unifies science and philosophy in a different kind of Theory of Everything. The subject of how we are to make sense of the world is addressed in a structured and ordered manner, which starts with a recognition that scientific truths are constructed within a linguistic framework. The author argues that an epistemic foundation of natural language must be understood before laying claim to any notion of reality. This foundation begins with Ludwig Wittgenstein’s Tractatus Logico-Philosophicus and the relationship of language to formal logic. Ultimately, we arrive at an answer to the question of why people believe the things they do. This is effectively a modification of Alfred Tarski’s semantic theory of truth. The second major issue addressed is the ‘dreaded’ Hard Problem of Consciousness as first stated by David Chalmers in 1995. The solution is found in the unification of consciousness, information theory and notions of physicalism. The physical world is shown to be an isomorphic representation of the phenomenological conscious experience. New concepts in understanding how language operates help to explain why this relationship has been so difficult to appreciate. The inclusion of concepts from information theory shows how a digital mechanics resolves heretofore conflicting theories in physics, cognitive science and linguistics. Scientific orthodoxy is supported, but viewed in a different light. Mainstream science is not challenged, but findings are interpreted in a manner that unifies consciousness without contradiction. Digital mechanics and formal systems of logic play central roles in combining language, consciousness and the physical world into a unified theory where all can be understood within a single consistent framework

Daily Eastern News: July 30, 1997

https://thekeep.eiu.edu/den_1997_jul/1007/thumbnail.jp

Daily Eastern News: July 30, 1997

https://thekeep.eiu.edu/den_1997_jul/1007/thumbnail.jp

Advancement, Fall 1999

Advancement, a supplement to Bostonia magazine, provided updates on BU development activities, including major gifts and projects

The essential message : Claude Shannon and the making of information theory

Thesis (S.M. in Science Writing)--Massachusetts Institute of Technology, Dept. of Humanities, Program in Writing and Humanistic Studies, 2003.Includes bibliographical references (leaves [70]-77).In 1948, Claude Shannon, a young engineer and mathematician working at the Bell Telephone Laboratories, published "A Mathematical Theory of Communication," a seminal paper that marked the birth of information theory. In that paper, Shannon defined what the once fuzzy concept of "information" meant for communication engineers and proposed a precise way to quantify it-in his theory, the fundamental unit of information is the bit. He also showed how data could be "compressed" before transmission and how virtually error-free communication could be achieved. The concepts Shannon developed in his paper are at the heart of today's digital information technology. CDs, DVDs, cell phones, fax machines, modems, computer networks, hard drives, memory chips, encryption schemes, MP3 music, optical communication, high-definition television-all these things embody many of Shannon's ideas and others inspired by him. But despite the importance of his work and its influence on everyday life, Claude Shannon is still unknown to most people. Many papers, theses, books, and articles on information theory have been published, but none have explored in detail and in accessible language aimed at a general audience what the theory is about, how it changed the world of communication, and-most importantly-what path led Shannon to his revolutionary ideas. "The Essential Message" presents an account of the making of information theory based on papers, letters, interviews with Shannon and his colleagues, and other sources. It describes the context in which Shannon was immersed, the main ideas in his 1948 paper-and the reaction to it-and how his theory shaped the technologies that changed one of the most fundamental activities in our lives: communication.by Erico Marui Guizzo.S.M.in Science Writin