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.

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 ...

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, ...

The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...

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 ...

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 ...

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.