A Conceptual Framework for Stochastic Neuromorphic Computing
作者
Brian R. Gaines
出处
期刊:IEEE design & test [Institute of Electrical and Electronics Engineers] 日期:2020-10-16卷期号:38 (6): 16-27被引量:6
标识
DOI:10.1109/mdat.2020.3031857
摘要
Editor’s notes:This keynote article is written by Brian Gaines, the inventor of stochastic computing. He shares both a view back on the history of neuromorphic computing and a view forward on deep learning as a new information processing technology. Gaines observes that computing has been a recursive technology: it supports other technologies that in turn support the progress of computing itself, leading to a positive exponential feedback loop and an exponential growth. He infers that the same holds for deep learning with its ability to meta-learn solutions to its own design problems. —Ilia Polian, University of Stuttgart