[iasmath-semru] [math-ias] Jeff Dean from Google Research speaking on April 24 at Princeton University

[Kristina Phillips]

Jeff Dean from Google Research

Tuesday, April 24, 2018 - 4:30pm

Friend Center - Room 101

Event page: http://www.cs.princeton.edu/events/25679 

 

"Deep Learning to Solve Challenging Problems"

 

For the past six years, the Google Brain team has 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 dozens of
Google products.  We have made significant progress in computer vision,
speech recognition, language understanding, machine translation, healthcare,
robotic control, and other areas. Our group has open-sourced the TensorFlow
system, a widely popular system designed to easily express machine learning
ideas, and to quickly train, evaluate and deploy machine learning systems.
In this talk, I'll highlight some of the research and computer systems work
we've done with an eye towards how it can be used to solve challenging
problems.

This talk describes joint work with many people at Google.

 

Jeff Dean's Bio:

Jeff Dean joined Google in 1999 and is currently a Google Senior Fellow in
Google's Research Group, where he co-founded and leads the Google Brain
team, Google's deep learning and artificial intelligence research team.  He
and his collaborators are working on systems for speech recognition,
computer vision, language understanding, and various other machine learning
tasks. He has co-designed/implemented many generations of Google's crawling,
indexing, and query serving systems, and co-designed/implemented major
pieces of Google's initial advertising and AdSense for Content systems. He
is also a co-designer and co-implementor of Google's distributed computing
infrastructure, including the MapReduce, BigTable and Spanner systems,
protocol buffers, the open-source TensorFlow system for machine learning,
and a variety of internal and external libraries and developer tools.  

 

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 and the Mark Weiser Award.

 

**A reception in the Friend Center Upper Atrium will follow immediately
after the talk.

 

 

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