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Fri, Oct 4, 8:51 AM (3 days ago)
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UNIVERSITY OF WASHINGTON
PAUL G. ALLEN SCHOOL OF COMPUTER SCIENCE & ENGINEERING DISTINGUISHED LECTURE SERIES
SPEAKER: Jeff Dean, Google AI
TITLE: Deep Learning to Solve Challenging Problems
DATE: Thursday, October 10, 2019
TIME: 3:30 pm
PLACE: Amazon Auditorium
HOST: Ed Lazowska
Abstract:
For the past eight years, Google Research teams have conducted research on difficult problems in artificial intelligence, on building large-scale computer systems for machine learning research, and, in collaboration with many teams at Google, on applying our research and systems to many Google products. As part of our work in this space, we have built and open-sourced the TensorFlow system (tensorflow.org), a widely popular system designed to easily express machine learning ideas, and to quickly train, evaluate and deploy machine learning systems.
We have also collaborated closely with Google’s platforms team to design and deploy new computational hardware called Tensor Processing Units, specialized for accelerating machine learning computations. In this talk, I’ll highlight some of our recent research accomplishments, and will relate them to the National Academy of Engineering’s Grand Engineering Challenges for the 21st Century, including the use of machine learning for healthcare, robotics, language understanding and engineering the tools of scientific discovery. I’ll also cover how machine learning is transforming many aspects of our computing hardware and software systems.
This talk describes joint work with many people at Google.
Bio:
Jeff Dean (ai.google/research/people/
Jeff received a Ph.D. in Computer Science from the University of Washington in 1996, working with Craig Chambers on whole-program optimization techniques for object-oriented languages. He received a B.S. in computer science & economics from the University of Minnesota in 1990. He is a member of the National Academy of Engineering, and of the American Academy of Arts and Sciences, a Fellow of the Association for Computing Machinery (ACM), a Fellow of the American Association for the Advancement of Sciences (AAAS), and a winner of the ACM Prize in Computing.
Reception to follow in Allen Center Atrium.
*NOTE* This lecture will be broadcast live via the Internet. See http://www.cs.washington.edu/
Email: talk-info@cs.washington.edu
Info: http://www.cs.washington.edu/
(206) 543-1695
The University of Washington is committed to providing access, equal opportunity and reasonable accomodation in its services, programs, activities, education and employment for individuals with disabilities.
To request disability accommodation, contact the Disability Services Office at least ten days in advance of the event at: (206) 543-6450/V,
(206) 543-6452/TTY, (206) 685-7264 (FAX), or email at dso@u.washington.edu.
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