US 12,462,202 B2
Coupled networks for physics-based machine learning
Samuel Dillavou, Philadelphia, PA (US); Douglas Durian, Swarthmore, PA (US); Andrea J. Liu, Philadelphia, PA (US); Menachem Stern, Philadelphia, PA (US); and Marc Z. Miskin, Media, PA (US)
Assigned to The Trustees of the University of Pennsylvania, Philadelphia, PA (US)
Filed by THE TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA, Philadelphia, PA (US)
Filed on May 20, 2022, as Appl. No. 17/750,072.
Claims priority of provisional application 63/191,468, filed on May 21, 2021.
Prior Publication US 2022/0383205 A1, Dec. 1, 2022
Int. Cl. G06N 20/20 (2019.01)
CPC G06N 20/20 (2019.01) 19 Claims
OG exemplary drawing
 
1. A coupled learning system, comprising:
at least one feedback circuit associated with (i) a first edge in a first network and (ii) a second edge in a second network, wherein the second edge corresponds to the first edge, and wherein a feedback circuit is configured to:
determine an electrical state of the first edge in the first network;
determine an electrical state of the second edge in the second network, wherein the second network receives a clamped input; and
iteratively adjust, based on the electrical state of the first edge and the electrical state of the second edge, an electrical characteristic of the first edge and the second edge, so as to cause an output associated with the first edge to approach the clamped input.