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Universal Speech Model (USM): State-of-the-art speech AI for 100+ languages

Google Research AI blog

Posted by Yu Zhang, Research Scientist, and James Qin, Software Engineer, Google Research Last November, we announced the 1,000 Languages Initiative , an ambitious commitment to build a machine learning (ML) model that would support the world’s one thousand most-spoken languages, bringing greater inclusion to billions of people around the globe.

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Stanford AI Lab Papers and Talks at NeurIPS 2021

The Stanford AI Lab Blog

Feel free to reach out to the contact authors and the workshop organizers directly to learn more about the work that’s happening at Stanford! Some of the members in our SAIL community also serve as co-organizers of several exciting workshops that will take place on Dec 13-14, so we hope you will check them out! Smith, Scott W. Low, Caitlin S.

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Barkour: Benchmarking animal-level agility with quadruped robots

Google Research AI blog

Acknowledgments The authors of this post are now part of Google DeepMind. We would like to thank our co-authors at Google DeepMind and our collaborators at Google Research: Wenhao Yu, J.

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Dude, Where’s My Neural Net? An Informal and Slightly Personal History

Lexalytics

Note that Geoff Hinton was a co-author on this paper: his interest in neural networks was finally vindicated. Many of the papers published with “deep” in their title were authored by a just small group of people, typically Hinton, LeCun, Bengio, and their students. It would not be the last time that happened.) McClelland, David E.