NeuronFlow: a neuromorphic processor architecture for Live AI applications

Download PDF
Open Webpage

Orlando Moreira, Amirreza Yousefzadeh, Fabian Chersi, Gokturk Cinserin, Rik-Jan Zwartenkot, Ajay Kapoor, Peng Qiao, Peter Kievits, Mina A. Khoei, Louis Rouillard, Aimee Ferouge, Jonathan Tapson, Ashoka Visweswara

Published: 2020, Last Modified: 02 May 2026DATE 2020EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Neuronflow is a neuromorphic, many core, data flow architecture that exploits brain-inspired concepts to deliver a scalable event-based processing engine for neuron networks in Live AI applications. Its design is inspired by brain biology, but not necessarily biologically plausible. The main design goal is the exploitation of sparsity to dramatically reduce latency and power consumption as required by sensor processing at the Edge.