Learning is usually associated with neural networks. But non-neural systems can also accumulate incremental changes over time and thus respond better to future environments. We show how seemingly 'dumb' physical systems like DNA crystals and elastic materials can learn to recognize complex patterns in chemical or mechanical stimuli, much like a neural network. We outline the potential and limits of such 'mechanical intelligence' due to physically realizable learning dynamics.
| Building: | West Hall |
|---|---|
| Event Type: | Workshop / Seminar |
| Tags: | Physics, Science |
| Source: | Happening @ Michigan from Department of Physics, Interdisciplinary QC/CM Seminars |
Events
Featured
Oct
08
2025 Ta-You Wu Lecture in Physics | Einstein, Gravitational Waves, Black Holes and Other Matters
Gabriela González, Boyd Professor of Physics (Louisiana State University)
4:00 PM
Fourth Floor Ampitheatre
Rackham Graduate School (Horace H.)
Upcoming
Sep
11
Quantum Research Institute | TBD
TBD
11:00 AM
2000PML
Virtual
Sep
25
Mohammad Hafezi (University of Maryland)
TBD
11:00 AM
411
Virtual
Oct
09
Quantum Research Institute | TBD
Jeff Thompson (Princeton University)
11:00 AM
2000PML
Virtual
