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.

WiFi Routers Used to Produce 3D Images of Humans : r/Futurology

Physicists have discovered that mimicking human muscles can lead to more efficiently designed electric motors for use in robots and appliances. Their bioinspired motors use up to 22% less energy, have a

Artificial Intelligence in Process Engineering - Thon - 2021 - Advanced Intelligent Systems - Wiley Online Library

According to a Latest Research, Quantum Machine Learning Could Benefit From a Spooky Action That Could Allow exponential Scaling Through Mysterious Quantum Connections - MarkTechPost

TBSI

Artificial Intelligence Applications and Innovations : IFIP 18th World

Artificial intelligence: A powerful paradigm for scientific research - ScienceDirect

The role of machine learning in clinical research: transforming the future of evidence generation, Trials

Computing With Chemicals Makes Faster, Leaner AI Battery-inspired artificial synapses are gaining ground. - Artinte - Medium