Improving the Science Behind AI

Bill Dally, Nvidia

Bill Dally on why hardware design, rather than algorithms, will help us achieve the next big breakthrough in AI.

Bill Dally, Chief Scientist and Senior Vice President of Research, Nvidia

Bill Dally is an award-winning computer scientist who works with leading scientists and researchers around the globe to develop new and innovative computing architectures. He joined Nvidia in 2009 after spending 12 years at Stanford University, where he was chairman of the computer science department and the Willard R. and Inez Kerr Bell Professor of Engineering. Dally and his Stanford team developed the system and network architecture found in most large parallel computers today. He is a member of the National Academy of Engineering, a fellow of the American Academy of Arts & Sciences, and a fellow of the IEEE and the ACM. He received the 2010 Eckert-Mauchly Award, considered the highest prize in computer architecture, as well as the 2004 IEEE Computer Society Seymour Cray Computer Engineering Award and the 2000 ACM Maurice Wilkes Award. Dally has published more than 200 papers, holds more than 100 patents, and is the author of three textbooks: Digital Systems Engineering, Principles and Practices of Interconnection Networks, and Digital Design: A Systems Approach. He received a bachelor of science degree in electrical engineering from Virginia Tech, a master of science degree in electrical engineering from Stanford University, and a PhD in computer science from the California Institute of Technology.


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