Computing With Chemicals Makes Faster, Leaner AI - IEEE Spectrum
Por um escritor misterioso
Last updated 22 dezembro 2024
A device that draws inspiration from batteries now appears surprisingly well suited to run artificial neural networks. Called electrochemical RAM (ECRAM), it is is quickly moving toward the head of the pack in the race to develop the perfect artificial synapse.
Free Course: From Compressed Sensing to Deep Learning: Tasks, Structures and Models from IEEE Signal Processing Society
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Artificial intelligence: A powerful paradigm for scientific research - ScienceDirect
Li, Ang A. James Clark School of Engineering, University of Maryland
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Computing With Chemicals Makes Faster, Leaner AI Battery-inspired artificial synapses are gaining ground. - Artinte - Medium
Artificial Intelligence in Process Engineering - Thon - 2021 - Advanced Intelligent Systems - Wiley Online Library
Computing With Chemicals Makes Faster, Leaner AI Battery-inspired artificial synapses are gaining ground. - Artinte - Medium
Recent advances and applications of machine learning in solid-state materials science
Searching for the Perfect Artificial Synapse for AI - IEEE Spectrum
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