Deep Learning and Understandability versus Software Engineering and Verification

Silicon Valley Deep Learning Group is honored to host Peter Norvig. Peter talks about Deep Learning and Understandability versus Software Engineering and Verification.

Who is Peter Norvig?
Peter Norvig is an American computer scientist, teacher, and author.

He has written books such as Intelligent Help Systems for UNIX, Verbmobil: A Translation System for Face-to-Face Dialog, and Paradigms of AI Programming: Case Studies in Common Lisp. He has also co-authored the book Artificial Intelligence: A Modern Approach.

Norvig was born on December 14, 1956. He has a bachelor’s degree in Applied Mathematics from Brown University, and a doctorate in Computer Science from the University of California, Berkeley. Norvig has held key positions at various institutions such as the NASA Ames Research Center, Sun Microsystems Laboratories, and Harlequin Inc.

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Peter Norvig is a Director of Research at Google Inc. Previously he was head of Google’s core search algorithms group, and of NASA Ames’s Computational Sciences Division, making him NASA’s senior computer scientist. He received the NASA Exceptional Achievement Award in 2001. He has taught at the University of Southern California and the University of California at Berkeley, from which he received a Ph.D. in 1986 and the distinguished alumni award in 2006. He was co-teacher of an Artifical Intelligence class that signed up 160,000 students, helping to kick off the current round of massive open online classes. His publications include the books Artificial Intelligence: A Modern Approach (the leading textbook in the field), Paradigms of AI Programming: Case Studies in Common Lisp, Verbmobil: A Translation System for Face-to-Face Dialog, and Intelligent Help Systems for UNIX. He is also the author of the Gettysburg Powerpoint Presentation and the world’s longest palindromic sentence. He is a fellow of the AAAI, ACM, California Academy of Science and American Academy of Arts & Sciences.

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