An artificial neural network has taken its first steps toward predicting the timing and size of future destructive earthquakes, according to RIKEN researchers. Their paper is published in the journal ...

Granular matter is all around us. Examples include sand, rice, nuts, coffee and even snow. These materials are made of solid particles that are large enough not to experience thermal fluctuations.

In our increasingly electrified world, supercapacitors have emerged as critical components in transportation and renewable energy systems, prized for their remarkable power density, cycling stability, ...

A team of New York University computer scientists has created a neural network that can explain how it reaches its predictions. The work reveals what accounts for the functionality of neural networks ...

Machine learning can be used to recognize faces, drive cars, and even spot exoplanets, but now Google is teaching its computers to do something even more unexpected. Researchers at Google have ...

Increasingly, AI models are able make short-term weather forecasts with surprising accuracy. But neural networks only predict based on patterns from the past—what happens when the weather does ...

Deep neural networks are becoming increasingly popular in more and more industries, and while recent developments in networks designed to play Go and online video games have excited the attention of ...

Association of adaptive immunity/inflammatory genes with survival in prostate cancer. Biopsies avoided with a grade group (GG) ≥2 prostate cancer (PCa) threshold of 18.6. Validation Sites GG ≥2 PCa ...

Illustration of a strike-slip fault at a tectonic plate boundary. The tectonic plates move parallel to each other, leading to so-called strike-slip earthquakes with relatively little deformation.