by In January, Google’s AlphaGo crossed a major artificial intelligence threshold by besting human grandmaster Lee Sedol at the famously complex game of Go. The win prompted a flood of news stories about whether humans will become obsolete in a world of increasingly intelligent machines that don’t just follow instructions embedded in code, but actually learn. At Credit Suisse’s 2016 Thought Leader Forum, University of Washington computer science professor Pedro Domingos addressed the state of the art in machine learning, its current limitations and future potential, and what it all means for the economy.
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FinancialistStaff considers the following as important: machine learning, Pedro Domingos, robots, University of Washington, video, World Affairs: Videos
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In January, Google’s AlphaGo crossed a major artificial intelligence threshold by besting human grandmaster Lee Sedol at the famously complex game of Go. The win prompted a flood of news stories about whether humans will become obsolete in a world of increasingly intelligent machines that don’t just follow instructions embedded in code, but actually learn. At Credit Suisse’s 2016 Thought Leader Forum, University of Washington computer science professor Pedro Domingos addressed the state of the art in machine learning, its current limitations and future potential, and what it all means for the economy.