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A Berkeley View of Systems Challenges for AI

WWW2 2017
Resources from www2.eecs.berkeley.edu

Electrical Engineering and Computer Sciences, University of California at Berkeley, 2017

"With the increasing commoditization of computer vision, speech recognition and machine translation systems and the widespread deployment of learning-based back-end technologies such as digital advertising and intelligent infrastructures, AI (Arti!cial Intelligence) has moved from research labs to production. These changes have been made possible by unprecedented levels of data and computation, by methodological advances in machine learning, by innovations in systems software and architectures, and by the broad accessibility of these technologies...

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