Distinguished Speaker Seminar
Speaker: Jeff Dean, Google Chief Scientist
Date: Aug 21, 2024
Time: 10:00AM – 12:00PM SGT
Venue: COM3 Multi-purpose Hall #01-27
Programme:
10.00 – 10.15: Efficiency and LLMs by Prateek Jain (Director, Google DeepMind)
10.15 – 10.55: Keynote Presentation by Jeff Dean (Google Chief Scientist)
10.55 – 11.15: Q&A
Abstract:
In this talk, Jeff will highlight some of the most exciting trends in the field of AI and machine learning and discuss the Gemini family of multimodal models. Through a combination of improved algorithms and major efficiency improvements in ML-specialized hardware, we are now able to build much more capable, general purpose machine learning than ever before. This has dramatic implications for the range of problems to which ML can be applied in the world. He will highlight some of these applications in science, engineering, health and sustainability, and also discuss ways in which we can gain a better understanding of ML systems and how they behave in the real world.
Biography:
Jeff Dean 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. In 2011, he co-founded the Google Brain project/team, focused on making progress towards intelligent machines.
He received a Ph.D. in computer science from the University of Washington in 1996, working on compiler optimizations for object-oriented languages advised by Craig Chambers. He received a B.S. in computer science and economics (summa cum laude) from the University of Minnesota in 1990 (doing honors theses on parallel training of neural networks and the economic impact of HIV/AIDS).
From 1996 to 1999, he worked for Digital Equipment Corporation’s Western Research Lab in Palo Alto, where I worked on low-overhead profiling tools, design of profiling hardware for out-of-order microprocessors, and web-based information retrieval. In 2009, he was elected to the National Academy of Engineering, and in 2016, he was elected as a member of the American Academy of Arts and Sciences. He was also named a Fellow of the Association for Computing Machinery (ACM) and a Fellow of the American Association for the Advancement of Sciences (AAAS). He is a recipient of the ACM Prize in Computing (2012, with his long-time colleague Sanjay Ghemawat), the IEEE John von Neumann medal, and the Mark Weiser Award.
