Simulating matter on the nanoscale with AI

In a paper published today in the scientific journal Science, DeepMind demonstrates how neural networks can be used to describe electron interactions in chemical systems more accurately than existing methods.

New AI tool can revolutionize microscopy

An AI tool developed at the University of Gothenburg offers new opportunities for analyzing images taken with microscopes. A study shows that the tool, which has already received international recognition, can fundamentally ...

Teaching physics to neural networks removes 'chaos blindness'

Researchers from North Carolina State University have discovered that teaching physics to neural networks enables those networks to better adapt to chaos within their environment. The work has implications for improved artificial ...

About faces: Geometric style of portrait artwork

A team of computer scientists at the Interdisciplinary Center in Israel have developed an innovative method to automatically analyze artistic portraiture, capturing a high level of detail and accuracy of the portraits as ...

Team breaks world record for fast, accurate AI training

Researchers at Hong Kong Baptist University (HKBU) have partnered with a team from Tencent Machine Learning to create a new technique for training artificial intelligence (AI) machines faster than ever before while maintaining ...

Scientists improve deep learning method for neural networks

Researchers from the Institute of Cyber Intelligence Systems at the National Research Nuclear University MEPhI (Russia) have recently developed a new learning model for the restricted Boltzmann machine (a neural network), ...

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