Energy-based analog neural network framework
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Computational Neuroscience"
DOI: 10.1109/socc56010.2022.9908086
Abstract: Over the past decade a body of work has emerged and shown the disruptive potential of neuromorphic systems across a broad range of studies, often combining novel machine learning models and nanotechnologies. Still, the scope… read more here.
Keywords: analog neural; based analog; network; energy based ... See more keywords
Enhancing Reliability of Analog Neural Network Processors
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2019.2893256
Abstract: Recently, analog and mixed-signal neural network processors have been extensively studied due to their better energy efficiency and small footprint. However, analog computing is more vulnerable to circuit nonidealities such as process variation than their… read more here.
Keywords: neural network; reliability analog; analog neural; network ... See more keywords