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 for search and discovery of quantum materials

Computers, Free Full-Text

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

Neuromorphic Computing

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

Artificial Intelligence Applied to Photon and Neutron Science (12-14 November 2019) · ILL workshops (Indico)

News - MIT-IBM Watson AI Lab

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

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

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

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

Frontiers Computer Vision, Machine Learning, and the Promise of Phenomics in Ecology and Evolutionary Biology

Vermeer's Digital Journey - The Manufacturing Leadership Council

Le, Son T. A. James Clark School of Engineering, University of Maryland