Courses & Events
How Preferred Networks has Defined Their Values: The Promise and Challenge of Deep Learning in Domains of Physical Control
Thursday, Oct 4, 2018
04:30 pm - 05:50 pm
To view presenter slides, please click here.
Details
Venue
Stanford University, Skilling Auditorium, 494 Lomita Mall, Stanford, CA 94305
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Parking
Via Ortega Garage, 498 Via Ortega, Stanford, CA 94305
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Roble Field Garage
Cross street is Via Ortega and Santa Teresa (Entrance is on Via Ortega), Stanford, CA 94305
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Please check parking signs carefully to ensure that permitted parking and metered spaces are free after 4:00 pm.
** Stanford students: Register for EASTASN 402A, one-unit seminar, pass-no credit; open to all majors with no prerequisites (cross listed as EE 402A or EALC 402A).
Speakers
Dr. Hiroshi Maruyama
PFN Fellow, Preferred Networks, Inc.
Dr. Hiroshi Maruyama has spent 26 years in IBM Research, Tokyo Research Laboratory, working on various computer science areas such as artificial intelligence, natural language processing, machine translation, hand-writing recognition, multimedia, XML, Web Services, and security. He was the director of IBM Tokyo Research Laboratory from 2006 to 2009. From 2011 to 2016, he was a professor at the Institute of Statistical Mathematics where he worked on projects related to big data, statistics, and their impacts on society. He joined Preferred Networks, Inc. in April 2016 as the chief strategy officer. His current research interests include practical applications of machine learning, social implications of information technology and machine learning, and computer science and statistics in general.
