Memristor design rules for dynamic learning and edge processing applications
The ability to dynamically learn and adapt to changes in the environment is one of the hallmarks of biological systems. In this work, we identify the subset of the design space of memristive materials that is optimal for dynamic learning applications. Using an architecture inspired on the learning c...
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| Format: | Article |
| Language: | English |
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AIP Publishing LLC
2019-09-01
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| Series: | APL Materials |
| Online Access: | http://dx.doi.org/10.1063/1.5109910 |