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.

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

PDF) Pervasive AI for IoT Applications: Resource-efficient Distributed Artificial Intelligence

TBSI

Frontiers Neurorobots as a Means Toward Neuroethology and Explainable AI

PDF) The Challenges and Opportunities of Human-Centred AI for Trustworthy Robots and Autonomous Systems

Analog Ai - IEEE Spectrum

DeepTM: A deep learning algorithm for prediction of melting temperature of thermophilic proteins directly from sequences - Computational and Structural Biotechnology Journal

Electronics, Free Full-Text

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

Artificial intelligence for search and discovery of quantum materials

Vermeer's Digital Journey - The Manufacturing Leadership Council

Artificial Intelligence

Machine Learning for Perovskite Solar Cells and Component Materials: Key Technologies and Prospects - Liu - 2023 - Advanced Functional Materials - Wiley Online Library

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

Full article: Machine learning aided synthesis and screening of HER catalyst: Present developments and prospects