Deep Learning in industry and introduction to Preferred Networks

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• Shohei Hido, Chief Research Officer, Preferred Networks America Inc
• Tuesday 16 February 2016, 15:00-16:00
• Dennis Gabor Seminar Room (611), EEE Department.

If you have a question about this talk, please contact Yiannis Demiris.

Everyone knows deep learning is extremely powerful in speech recognition, natural language processing, and image understanding as proven by large internet companies like Google, Facebook, and Baidu. Preferred Networks tries to extend the power of deep learning into other industries such as automotive and manufacturing. It recently showcased initial results of the joint projects with Toyota at CES and with FANUC at International Robot Exhibition. In this talk, I will introduce the company, demonstrate some results, and present our open-source deep learning framework named Chainer.

Preferred Networks, Inc. (PFN) PFN is a Tokyo-based startup focusing on industrial applications of deep learning. It was founded in 2014 as a spin-out from Preferred Infrastructure. PFN ’s strategic investors include Toyota and FANUC (the world-largest manufacturer of factory machines). More than 20 top-notch researchers and engineers are working there, including the originator of Chainer. http://preferred-networks.jp/ http://chainer.org/

The Speaker: Shohei Hido After 6-year working as a staff researcher at IBM Research in Tokyo, he joined Preferred Infrastructure in 2012. He now serves as Chief Research Officer at the U.S. subsidiary of PFN in SF bay area, California. http://www.shohei.org/

Shohei Hido Chief Research Officer Preferred Networks America, Inc. http://preferred-networks.jp/

This talk is part of the Yiannis Demiris's list series.

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