Ep 16: Sustainability in a Post-AI World with Dr. Carole-Jean Wu, Meta
About this episode
Dr. Carole-Jean Wu discusses sustainability challenges and innovations in the context of AI technologies.
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.
More episodes of Computer Architecture Podcast
- Ep 24: From Unicorns to Centaurs: Codesigning Computer Systems for the AI Era with Dr. Partha Ranganathan, Google
- Ep 22: Measuring Datacenter Efficiency and Visioning the Future of Computer Architecture with Dr. Babak Falsafi, EPFL
- Ep 21: High-assurance Computer Architectures with Dr. Caroline Trippel, Stanford University
- Ep 20: The Tech Transfer Playbook – Bridging Research to Production with Dr. Ricardo Bianchini, Microsoft
- Ep 19: Memory Management and Software Reliability with Dr. Arkaprava Basu, Indian Institute of Science
- Ep 18: Codesign for Industrial Robotics and the Startup Pivot with Dr. Dan Sorin, Duke University
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