Hardware Acceleration for Machine Learning
In recent years, hardware acceleration for machine learning has made significant strides, evolving from general-purpose solutions to increasingly specialized heterogeneous platforms designed to integrate artificial intelligence directly into embedded systems and edge architectures [...]
Authors
- G.C. Cardarilli (ORCID: https://orcid.org/0000-0002-7444-876X)
- Sergio Spanò (ORCID: https://orcid.org/0000-0002-8230-7211)
- Luca Di Nunzio (ORCID: https://orcid.org/0000-0002-4312-7939)
Institutions
- University of Rome Tor Vergata (IT)
Publication Details
- Journal
- Electronics
- Published
- 2026-04-28
- DOI
- https://doi.org/10.3390/electronics15091857
- Primary Topic
- Embedded Systems Design Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00