Bent-Pyramid: Towards A Quasi-Stochastic Data Representation for AI Hardware (2023)
Attributed to:
Functional Oxide Reconfigurable Technologies (FORTE): A Programme Grant
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1109/newcas57931.2023.10198194
Publication URI: https://api.elsevier.com/content/abstract/scopus_id/85168554627
Type: Conference/Paper/Proceeding/Abstract