Keynote Speakers

Jeff Dean

Tuesday, August 11th | 08:00 AM – 09:20 AM

Title: Important Trends in AI: How Did We Get Here, What Can We Do Now, and What Will Be Important In the Future?

Abstract: In this talk I’ll highlight some of the major developments in artificial intelligence over the past 15 years, which serve as key ingredients in today’s most advanced AI models.  This will touch on development of new model architectures, advances in large-scale distributed training, ML accelerators like TPUs, and development of algorithms to improve training and serving efficiency.  I’ll discuss the Gemini effort at Google, both in terms of the capabilities of Gemini models but also in how we go about organizing a large-scale research and engineering effort like Gemini.  Finally, I’ll give a sense of the capabilities of today’s models, and also highlight some areas that will advance rapidly in the next few years.

Bio: Jeff Dean (Jeffrey Dean) joined Google in 1999 and is currently Google’s Chief Scientist, focusing on AI advances for Google DeepMind and Google Research. His areas of focus include machine learning and AI, and applications of AI to problems that help billions of people in societally beneficial ways. 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 2012 ACM Prize in Computing.