Computing With Chemicals Makes Faster, Leaner AI - IEEE Spectrum

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.

Deep Machine Reading

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

IAFOR Journal of Education – Volume 11 – Issue 2: Technology in Education by IAFOR - Issuu

JAIT

Computing With Chemicals Makes Faster, Leaner AI - IEEE Spectrum

Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems

A Systematic Review on Intensifications of Artificial Intelligence Assisted Green Solvent Development