107 citations · 498 across the 13 of their papers we have counts for
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cond-mat.dis-nn2023★ 1 cited
Physical learning of power-efficient solutions
Menachem Stern, Sam Dillavou, Dinesh Jayaraman +2
As the size and ubiquity of artificial intelligence and computational machine learning (ML) models grow, their energy consumption for training and use is rapidly becoming economica…
cond-mat.dis-nn2023★ 22 cited
The Physical Effects of Learning
Menachem Stern, Andrea J. Liu, Vijay Balasubramanian
Interacting many-body physical systems ranging from neural networks in the brain to folding proteins to self-modifying electrical circuits can learn to perform diverse tasks. This…