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Multiplexed neuron sets make smaller optical neural networks possible

Multiplexed neuron sets make smaller optical neural networks possible
techxplore.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from techxplore.com Daily Mail and Mail on Sunday newspapers.

Yi Feng Liu , Optical Neural Networks , Slimmed Optical Neural Networks , Multiplexed Neuron Sets , Corresponding Backpropagation Training Algorithm , Intelligent Computing ,

AI Efficiency Breakthrough: How Sound Waves Are Revolutionizing Optical Neural Networks

AI Efficiency Breakthrough: How Sound Waves Are Revolutionizing Optical Neural Networks
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Susanne Viezens , Birgit Stiller , Steven Becker , Dirk Englund , Max Planck Institute For The Science Of Light , Optical Neural Networks , Recurrent Operations In Optical Networks , Stiller Lab , Energy Efficiency , Quantum Optoacoustics Research Group , Englund Research Group , Waves Enhancing Optical Networks , Nature Communications , Massachusetts Institute Of Technology , Stiller Research Group , Photonic Computation With Sound Waves , Long Huy , Max Planck Institute , Massachusetts Institute , Neural Networks , Quantum Optoacoustics Research , Photonic Machine ,

Amazing! The classical optical neural network exhibits "quantum speedup"

Optical neural networks (ONNs) have drawn much attention in recent years due to their high bandwidth and low heat generation. In order to further enhance the c ....

Xiangdong Zhang , Institute Of Technology , Key Laboratory , School Of Physics , Ministry Of Education , Rd Program Of China , National Natural Science Foundation Of China No , Key Laboratory Of Nanophotonics Ultrafine Optoelectronic Systems , Light Science , Professor Xiangdong Zhang , Beijing Key Laboratory , Ultrafine Optoelectronic Systems , Beijing Institute , National Natural Science Foundation , Optical Neural Networks , All Journal News , Artificial Intelligence , Chinese Academy Of Sciences ,

Machine-learning system based on light could yield more powerful, efficient large language models

An MIT machine-learning system demonstrates greater than 100-fold improvement in energy efficiency and a 25-fold improvement in compute density compared with current systems. ....

Dirk Englund , Alexander Sludds , Ian Christen , Tobias Heuser , Lamia Ateshian , Ryan Hamerly , Liane Bernstein , Stephan Reitzensttein , Niels Heermeier , Jamesa Lott , Ronald Davis , Zaijun Chen , Logan Wright , Natural Sciences , University Of Southern California , Us National Science Foundation , Engineering Graduate Fellowship Program , Volkswagen Foundation , Us National Defense Science , Research Inc , Research Laboratory Of Electronics , Quantum Photonics Laboratory , Engineering Research Council Of Canada , Yale University , Department Of Electrical Engineering , Materials Research Laboratory ,

Optical Neural Networks Using Synthetic Dimensions

A new theoretical study suggests building an optical neural network architecture for deep learning using the concept of a temporal synthetic dimension. The synthetic dimensions are created by the arrival times of optical pulses in a single-ring resonator. ....

Qian Lin , Ilamaran Sivarajahmar , Meng Xiao , Shuo Yan , Bo Peng , Dali Cheng , Dmitriy Rybin Shutterstock , Optical Neural Networks , Theoretical Proposal Of Optical Neural Network Architecture , Technical Digest Series Optica Publishing Group , Shanhui Fan , Optical Neural Network Architecture , Temporal Synthetic Dimension , Technical Digest Series , Optica Publishing Group , Synthetic Dimensions , Optical Neural Networks ,