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
Apr
12
Saturday Morning Physics | VanLoo Family SMP: Graduate Student Research Presentations
Otávio Aves and Emilie LaVoie-Ingrahm (U-M Physics), Jared Mitchell (U-M Applied Physics)
10:30 AM
170 & 182 Auditoriums
Weiser Hall
Upcoming
Mar
25
CM-AMO Seminar | Visualization of Tunable Electronic Structure of Van der Waals Heterostructures
Jyoti Katoch (Carnegie Mellon University)
4:00 PM
340
West Hall
Mar
26
Applied Physics Seminar | Histotripsy: Crushing Cancer with Acoustic Cavitation
Ryan Hubbard, Ph.D., 2025 Graduate of Applied Physics, University of Michigan
12:00 PM
340
Virtual
Mar
26
Brown Bag Seminar | Comments on closed universes
Ying Zhao (MIT)
12:00 PM
3481
Randall Laboratory
