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.

Computing With Chemicals Makes Faster, Leaner AI - IEEE Spectrum

IEEE News - Short cycle degree in Software Development

Machine learning techniques in additive manufacturing: a state of the art review on design, processes and production control

Artificial Intelligence

A philosophical view on singularity and strong AI

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

The Femtojoule Promise of Analog AI - IEEE Spectrum

Electronics, Free Full-Text

RT/ Computer-aided creativity in robot design, by Paradigm, Paradigm

Artificial intelligence for search and discovery of quantum materials

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

Utilizing machine learning to expedite the fabrication and biological application of carbon dots - Materials Advances (RSC Publishing) DOI:10.1039/D3MA00443K