Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search With Hot Start
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2020.3012863
Abstract: Hardware and neural architecture co-search that automatically generates artificial intelligence (AI) solutions from a given dataset are promising to promote AI democratization; however, the amount of time that is required by current co-search frameworks is… read more here.
Keywords: hardware; architecture search; hardware neural; neural architecture ... See more keywords
WOx-Based Synapse Device With Excellent Conductance Uniformity for Hardware Neural Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Nanotechnology"
DOI: 10.1109/tnano.2020.3010070
Abstract: Hardware neural networks (HNNs) which use synapse device (SD) arrays show promise as an approach to energy efficient parallel computation of massive vector-matrix multiplication. To maximize the inference accuracy of application-specific HNNs, we propose a… read more here.
Keywords: wox based; hardware; neural networks; hardware neural ... See more keywords
Boolean learning under noise-perturbations in hardware neural networks
Sign Up to like & getrecommendations! Published in 2020 at "Nanophotonics"
DOI: 10.1515/nanoph-2020-0171
Abstract: Abstract A high efficiency hardware integration of neural networks benefits from realizing nonlinearity, network connectivity and learning fully in a physical substrate. Multiple systems have recently implemented some or all of these operations, yet the… read more here.
Keywords: neural networks; boolean learning; noise; noise perturbations ... See more keywords