📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Hardware-Software Co-optimised Fast and Accurate Deep Reconfigurable Spiking Inference Accelerator Architecture Design Methodology (2024)

First Author: Nimbekar A

Attributed to: SGAI: Brain-Inspired Nanosystems for Smart and Green AI funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/socc62300.2024.10737858

Publication URI: http://dx.doi.org/10.1109/socc62300.2024.10737858

Type: Conference/Paper/Proceeding/Abstract