Work

QUANTISENC++: A Fully-Configurable Many-Core Neuromorphic Hardware

Year: 2024

Type: conference-paper

Source: 2018 52nd Asilomar Conference on Signals, Systems, and Computers

DOI: 10.1109/ieeeconf60004.2024.10942719

Authors: Shadi Matinizadeh, Arghavan Mohammadhassani, M. L Varshika, Sarah Johari, Nagarajan Kandasamy, Anup Das

Institution: Drexel University

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4409156764

FWCI: 1.557

Cites: 30

Cited by: 2

Related to: 10