Researchers at the Nanoscience Center and at the Faculty of Information Technology at the University of Jyväskylä in Finland have demonstrated that new distance-based machine learning methods, ...

The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However, the lack of a ...

A machine learning approach could allow computers to determine the electronic structure of molecules without having to use the most resource-intensive equations of density functional theory, new ...

In collaboration with OpenAI, DeepMind, YC Research, and others, Google has announced the launch of Distill, a new open science journal and ecosystem supporting human understanding of machine learning ...

Scientists at the University of California, Berkeley, have recently published work that lays the foundation for new ways of thinking about pathogen evolution. "Our research highlights that ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...

DeepMind is releasing AlphaMissense, a tool researchers can use to learn more about the effects that missense mutations – which make up the majority of “variants of uncertain significance” – have on ...

A NIMS research team has developed an automated high-throughput system capable of generating datasets from a single sample of ...