Supervised Learning in Physical Networks: From Machine Learning to Learning Machines
Materials and machines are often designed with particular goals in mind, so that they exhibit desired responses to given forces or constraints. Here we explore an alternative approach, namely physical coupled learning. In this paradigm, the system is not initially designed to accomplish a task, but...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Physical Society
2021-05-01
|
| Series: | Physical Review X |
| Online Access: | http://doi.org/10.1103/PhysRevX.11.021045 |