Supernetwork-based efficient mapping of deep learning applications to mixed-precision hardware using model adaptation
Abstract The rapid proliferation of Artificial Intelligence applications necessitates scalable solutions that perform efficiently under real-world constraints. Heterogeneous accelerators combining specialized analog and digital units offer localized, energy-efficient neural network computations. How...
Salvato in:
| Autori principali: | , , , , , , , , , , |
|---|---|
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Portfolio
2026-03-01
|
| Serie: | Nature Communications |
| Accesso online: | https://doi.org/10.1038/s41467-026-71071-1 |
| Tags: |
Nessun Tag, puoi essere il primo ad aggiungerne!!
|