Archive for December, 2015

Latest Splash in the Flood Toward AI Research

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A group of high-profile technology executives led by Elon Musk, Reid Hoffman, Peter Thiel, and Sam Altman has announced the formation of the latest in what has now become a flurry of new efforts to research various aspects of AI and its component technologies and issues. The non-profit OpenAI effort will be funded to the tune of $1B funneled incrementally over the next decade.

Read more at Wired

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Facebook Research Raises Bar on Go-playing Machines

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Unlike chess and Jeopardy, the game of Go has proved elusive for researchers seeking to craft a machine that can beat a human opponent. MIT Technology Review reports on advances by Facebook research, where a pair of scientists have recently created a pretty darn good Go-playing machine. Their approach combines a traditional search-based approach with neural network-based machine learning and trounces earlier Go machines over 90% of the time.

Read more at MIT Technology Review

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Cambridge University Announces $15M Leverhulme Centre for the Future of Intelligence

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Over the next ten years, Cambridge University in the UK will be using a grant of $15M from the Leverhulme Trust to establish an academic Centre tasked to establish an academic Centre to “create an AI community with a common purpose of responsible innovation and to update the current thinking about the opportunities and challenges posed by AI.” The new center is in part a tangible response to the high profile conversation among Steven Hawking, Bill Gates, Elon Musk and ...

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Wikipedia Turns to Machine Learning for Fraud Detection

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To help offload the work of volunteer human editors tasked with detecting malevolent postings on the open encyclopedia, Wikipedia has turned to open source machine learning code to develop algorithms for differentiating malevolent new posts from legitimate ones. The goal of the Objective Revision Evaluation Service (ORES) is to help Wikipedia provide a more friendly environment for well-intentioned editors by relaxing current stringent editing restrictions. By identifying obvious vandals, ORES has allowed a positive modification in Wikipedia’s policies toward screening ...

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