CAREER: Learning and Information Processing in Non-linear Mechanical Systems — NSF Award to University of Chicago (IL, $480,000)
NONTECHNICAL SUMMARY This CAREER award will support research to understand how mechanical systems can learn intelligent behavior in ways similar to neural networks. Mechanical materials will be studied that actively re-organize themselves through local processes so as to recognize and respond to subtle patterns in phys
| Award title | CAREER: Learning and Information Processing in Non-linear Mechanical Systems |
|---|---|
| Award ID | 2239801 |
| Awardee | University of Chicago |
| City | CHICAGO |
| State | IL |
| Amount obligated | $480,000 |
| Principal investigator | Arvind Murugan |
| Program | CONDENSED MATTER & MAT THEORY |
| Start date | 01/15/2023 |
| Abstract | NONTECHNICAL SUMMARY This CAREER award will support research to understand how mechanical systems can learn intelligent behavior in ways similar to neural networks. Mechanical materials will be studied that actively re-organize themselves through local processes so as to recognize and respond to subtle patterns in physical stimuli. The fields of condensed matter physics and materials science have traditionally focused on systems with fixed capabilities. Inspired by the brain, this project seeks |
| Source | NSF Awards |
$799/mo
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