activity
20172025
most citedBeyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

565 citations · 838 across the 18 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cond-mat.dis-nn2021

Physical learning beyond the quasistatic limit

Menachem Stern, Sam Dillavou, Marc Z. Miskin +2

Physical networks, such as biological neural networks, can learn desired functions without a central processor, using local learning rules in space and time to learn in a fully dis…

cond-mat.dis-nn2021★ 85 cited

Demonstration of Decentralized, Physics-Driven Learning

Sam Dillavou, Menachem Stern, Andrea J. Liu +1

In typical artificial neural networks, neurons adjust according to global calculations of a central processor, but in the brain neurons and synapses self-adjust based on local info…