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Exploring Democratic Dialogue between Rationality, Silicon Valley, and the Wider World

Exploring Democratic Dialogue between Rationality, Silicon Valley, and the Wider World
lesswrong.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from lesswrong.com Daily Mail and Mail on Sunday newspapers.

Exploring Democratic Dialogue between Rationality, Silicon Valley, and the Wider World

Exploring Democratic Dialogue between Rationality, Silicon Valley, and the Wider World
lesswrong.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from lesswrong.com Daily Mail and Mail on Sunday newspapers.

Larry Page: the Untold Story

Larry Page: the Untold Story
businessinsider.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from businessinsider.com Daily Mail and Mail on Sunday newspapers.

Artificial Intelligence and Machine Learning-Are We There Yet?

Artificial Intelligence and Machine Learning-Are We There Yet? Barry Barlow, SVP & CTO, Vencore, Inc Barry Barlow, SVP & CTO, Vencore, Inc “Let me put it this way, Mr. Amor. The 9000 series is the most reliable computer ever made. No 9000 computer has ever made a mistake or distorted information. We are all, by any practical definition of the words, foolproof and incapable of error.” HAL, “2001: A Space Odyssey,” 1968. As we approach the 50 year anniversary of “2001: A Space Odyssey,” a movie that arguably foreshadowed concerns that many face today with the increased emphasis on and investment in artificial intelligence (AI), machine learning, drones and autonomous operations (e.g., driverless cars), one has to wonder if society has made the leap and now agrees with and accepts HAL’s proclamation that computers are “foolproof and incapable of error.” Before you say “of course not,” let me ask if you’ve ever deviated from your typical mor

Syllabus for Classics of Computer Science

Instructor:  Teaching Fellow: Gal Koplewitz, galkop@gmail.com. Office hours: Thursdays 3-4, Maxwell Dworkin second floor lounge. This course examines papers every computer scientist should have read, from the 1930s to the present. It is meant to be a synthesizing experience for advanced students in computer science: a way for them to see the field as a whole, not through a survey, but by reliving the experience of its creation. The idea is to create a unified view of the field of computer science, for students who already know something about it, by replaying its entire evolution at an accelerated frame rate.

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