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.

Artificial Intelligence Based 'Waste-to-Valuable' Algorithm for Repurposing Chemical Wastes into Useful Drugs - CBIRT

News - MIT-IBM Watson AI Lab

PDF) Artificial Intelligence and Advanced Materials

ELAIA: Volume 1, Issue 1, Summer 2018 by Olivet Nazarene University - Issuu

Artificial Synapses 10,000x Faster Than Real Thing - IEEE Spectrum

Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights - Arman Malekloo, Ekin Ozer, Mohammad AlHamaydeh, Mark Girolami, 2022

Artificial intelligence: A powerful paradigm for scientific research - ScienceDirect

Recent advances and applications of machine learning in solid-state materials science

Ram Sorcerer, in a more clean lithography approach, digital : r/drawing

Searching for the Perfect Artificial Synapse for AI - IEEE Spectrum