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

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.