Yanzhi Wang received the B.S. degree in electronic engineering from Tsinghua University, Beijing, China, in 2009, and the Ph.D. degree in computer engineering from the University of Southern California, Los Angeles, CA, USA, in 2014. His research interests include energy-efficient and high-performance implementations of deep learning and artificial intelligence systems, emerging deep learning algorithms/systems, generative adversarial networks, and deep reinforcement learning.
Approximate Computing for AI/ML
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