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

PDF) Chemical and Biological Applications of Digital-Microfluidic Devices

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

Science Writing – Dina's personal webpage

Neuromorphic Computing

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

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

Artificial general intelligence - Wikipedia

Science Writing – Dina's personal webpage

Tackling Climate Change with Machine Learning

Artificial Intelligence Applications and Innovations : IFIP 18th World

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