Chrome Extension
WeChat Mini Program
Use on ChatGLM
VIPCreated with Sketch.

NeuronFlow: a neuromorphic processor architecture for Live AI applications

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

PROCEEDINGS OF THE 2020 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE 2020)（2020）

Cited 12|Views21
No score
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.
More
Translated text
Key words
Live AI applications,brain biology,main design goal,neuronflow,neuromorphic processor architecture,neuromorphic core,many core,brain-inspired concepts,scalable event,neuron networks
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined