Learning Continually in Silicon
Continual learning (CL) is a key advancement in artificial intelligence, enabling systems to learn and adapt over time. We introduce the concept and features of how to approach CL in silicon, with early examples from the literature.
Authors
- Nicholas Soures (ORCID: https://orcid.org/0000-0001-8126-7396)
- Dhireesha Kudithipudi (ORCID: https://orcid.org/0000-0003-4462-5224)
- Jayanta Dey (ORCID: https://orcid.org/0000-0002-6713-7402)
Institutions
- Bascom Hunter (United States) (US)
- The University of Texas at San Antonio (US)
Publication Details
- Journal
- Computer
- Published
- 2024-09-23
- DOI
- https://doi.org/10.1109/mc.2024.3437828
- Primary Topic
- Advancements in Semiconductor Devices and Circuit Design
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- University of Texas at San Antonio
- Air Force Research Laboratory