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.

Electronics, Free Full-Text

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

Applications of Artificial Intelligence and Machine Learning Algorithms to Crystallization

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

Full Credited Responses: The Next 50 Years of Digital Life, Imagining the Internet

Harnessing the era of artificial intelligence in higher education: a primer for higher education stakeholders

PDF) Chemical and Biological Applications of Digital-Microfluidic Devices

Artificial intelligence: A powerful paradigm for scientific research - ScienceDirect

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

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