Posts on Jul 2017

Preferred Networks recieved the “Emerging Leader Award” at the 2017 Japan-U.S. Innovation Award

Preferred Networks recognized for pioneering application of Deep Learning Technology

    

 Receiving 2017 Emerging Leader Award (Japan) with Dr. Richard Dasher, Director, Stanford US-Asia Technology Management Center and Hiroshi Maruyama, Chief strategy officer of PFN.

Preferred Networks, Inc. was selected as the “2017 Emerging Leader Award”, the winner of the 2017 Japan-U.S. Innovation Award held at Stanford University on Friday, July 28th. PFN was one of the “Innovation ShowCase” start-up companies in 2016, and the rapid growth in the past year was highly appreciated.

US-Japan Innovation Awards is operated by the Japan Society of Northern California in collaboration with the Stanford University US–Asia Technology Management Center.

“Emerging Leader Awards” are presented to young, dynamic, and growing, entrepreneurial companies founded upon innovations that are demonstrating impressive success and that have the potential to make substantial global impacts. One U.S. and one Japanese award recipients are selected each year through a rigorous process guided by a distinguished 40-person Innovation Advisory Council composed of venture capitalists, academic experts, and prominent business executives based in Japan and in San Francisco/Silicon Valley.

Preferred Networks appoints Professor Pieter Abbeel of UC Berkeley as a Technical Advisor

Preferred Networks, Inc. (PFN, HQ: Chiyoda-ku, Tokyo, President & CEO: Toru Nishikawa) agreed with Pieter Abbeel (Professor at University of California, Berkeley, and Research Scientist at OpenAI) that he will be appointed as a technical advisor at PFN as of August 1st, 2017.

Professor Abbeel is a pioneer in machine learning based optimization and automation in robotics. He has published many research papers on robot control using deep reinforcement learning. Recently he joined OpenAI, a non-profit AI research company as research scientist.

In this appointment as a technical advisor, Professor Abbeel will give technical advice and guidance on cutting-edge deep learning to robotics research in PFN, aiming to accelerate the development and practical use of PFN’s technology. 

For more information, please refer to the research blog: https://preferredresearch.jp/2017/07/22/abbeel/

 

  • Pieter Abbeel

  • Biography

    He received a BS/MS in Electrical Engineering from KU Leuven (Belgium) and received his Ph.D. degree in Computer Science from Stanford University in 2008. He joined the faculty at UC Berkeley in Fall 2008, with an appointment in the Department of Electrical Engineering and Computer Sciences. His research focuses on robotics, machine learning and control. Professor Abbeel has won various awards, including IEEE Robotics and Automation Society Early Career Award, Sloan Research Fellowship. His work has been featured in many popular press outlets, including BBC, New York Times, and MIT Technical Review.

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