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Ep 16: Sustainability in a Post-AI World with Dr. Carole-Jean Wu, Meta
Manage episode 424449467 series 2687673
Dr. Carole-Jean Wu is a Director of AI Research at Meta. She is a founding member and a Vice President of MLCommons – a non-profit organization that aims to accelerate machine learning innovations for the benefits of all. Dr. Wu also serves on the MLCommons Board as a Director, chaired the MLPerf Recommendation Benchmark Advisory Board, and co-chaired for MLPerf Inference. Prior to Meta/Facebook, Dr. Wu was a professor at ASU. She earned her M.A. and Ph.D. degrees in Electrical Engineering from Princeton University and a B.Sc. degree in Electrical and Computer Engineering from Cornell University. Dr. Wu’s expertise sits at the intersection of computer architecture and machine learning. Her work spans across datacenter infrastructures and edge systems, such as developing energy- and memory-efficient systems and microarchitectures, optimizing systems for machine learning execution at-scale, and designing learning-based approaches for system design and optimization. She is passionate about pathfinding and tackling system challenges to enable efficient and responsible AI technologies.
19 epizódok
Manage episode 424449467 series 2687673
Dr. Carole-Jean Wu is a Director of AI Research at Meta. She is a founding member and a Vice President of MLCommons – a non-profit organization that aims to accelerate machine learning innovations for the benefits of all. Dr. Wu also serves on the MLCommons Board as a Director, chaired the MLPerf Recommendation Benchmark Advisory Board, and co-chaired for MLPerf Inference. Prior to Meta/Facebook, Dr. Wu was a professor at ASU. She earned her M.A. and Ph.D. degrees in Electrical Engineering from Princeton University and a B.Sc. degree in Electrical and Computer Engineering from Cornell University. Dr. Wu’s expertise sits at the intersection of computer architecture and machine learning. Her work spans across datacenter infrastructures and edge systems, such as developing energy- and memory-efficient systems and microarchitectures, optimizing systems for machine learning execution at-scale, and designing learning-based approaches for system design and optimization. She is passionate about pathfinding and tackling system challenges to enable efficient and responsible AI technologies.
19 epizódok
Minden epizód
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1 Ep 19: Arkaprava Basu - Memory Management and Software Reliability with Dr. Arkaprava Basu, Indian Institute of Science 1:08:04

1 Ep 18: Codesign for Industrial Robotics and the Startup Pivot with Dr. Dan Sorin, Duke University 54:05

1 Ep 17: Architecture 2.0 and AI for Computer Systems Design with Dr. Vijay Janapa Reddi, Harvard University 59:34

1 Ep 16: Sustainability in a Post-AI World with Dr. Carole-Jean Wu, Meta 1:06:56

1 Ep 15: The Hardware Startup Experience from Business Case to Software with Dr. Karu Sankaralingam, University of Wisconsin-Madison/Nvidia 1:03:29

1 Ep 14: System Design for Exascale Computing and Advanced Memory Technologies with Dr. Gabriel Loh, AMD 1:05:02

1 Ep 12: 50th Anniversary of SIGARCH Special Episode with Dr. David Patterson, Dr. Norm Jouppi and Dr. Natalie Enright-Jerger 1:02:46

1 Ep 11: Future of AI Computing and How to Build & Nurture Hardware Teams with Jim Keller, Tenstorrent 1:22:21

1 Ep 10: Physically-constrained Computing Systems with Dr. Brandon Lucia, Carnegie Mellon University 1:06:15

1 Ep 9: Hyperscale Cloud and Agile Hardware Design in China with Dr. Yungang Bao, Institute of Computing Technology 52:48

1 Ep 8: Durable Security and Privacy-enhanced Computing with Dr. Todd Austin, University of Michigan 1:00:47

1 Ep 7: Domain-specific Systems for AR/VR and Extended Reality with Dr. Sarita Adve, University of Illinois at Urbana-Champaign 1:00:03

1 Ep 5: Datacenter Architectures and Cloud Microservices with Dr. Christina Delimitrou, Cornell University 48:45
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