Beyond CMOS Devices for Low-Power Oscillatory Neural Networks for Edge AI Computing - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year :

Beyond CMOS Devices for Low-Power Oscillatory Neural Networks for Edge AI Computing

Stefania Carapezzi
Smart Integrated Electronic Systems
Gabriele Boschetto
Smart Integrated Electronic Systems
Corentin Delacour
Smart Integrated Electronic Systems
Madeleine Abernot
Smart Integrated Electronic Systems
Thierry Gil
  • Function : Author
  • PersonId : 836986
Smart Integrated Electronic Systems
Aida Todri-Sanial
Smart Integrated Electronic Systems
CV

Domains

Artificial Intelligence [cs.AI] Modeling and Simulation Emerging Technologies [cs.ET] Materials Micro and nanotechnologies/Microelectronics

Stefania Carapezzi  : Connect in order to contact the contributor

https://hal-lirmm.ccsd.cnrs.fr/lirmm-03365217

Submitted on : Tuesday, October 5, 2021-11:13:50 AM

Last modification on : Wednesday, July 5, 2023-5:05:27 PM

No file

Dates and versions

lirmm-03365217 , version 1 (05-10-2021)

Identifiers

  • HAL Id : lirmm-03365217 , version 1

Cite

Stefania Carapezzi, Gabriele Boschetto, Corentin Delacour, Madeleine Abernot, Thierry Gil, et al.. Beyond CMOS Devices for Low-Power Oscillatory Neural Networks for Edge AI Computing. Albany Nanotechnology Symposium, 2021, New York, United States. ⟨lirmm-03365217⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

CNRS LIRMM TDS-MACS SMARTIES LIRMM_MIC MIC MIPS UNIV-MONTPELLIER
61 View
0 Download

Share

Gmail Facebook Twitter LinkedIn More