A research team led by Professor Wang Hongzhi from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has developed a multi-stage, dual-domain, progressive network with ...

A research team from the Xi'an Institute of Optics and Precision Mechanics (XIOPM) of the Chinese Academy of Sciences, along with collaborators from the Institute National de la Recherche Scientifique ...

Biocomputing research is testing living neurons for computation as scientists look for energy-efficient alternatives to ...

New research challenges the century-old practice of mapping the brain based on how tissue looks under a microscope. By analyzing electrical signals from thousands of neurons in mice, scientists ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

This study presents experiments suggesting intriguing mesoscale reorganization of functional connectivity across distributed cortical and subcortical circuits during learning. The approach is ...

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models. Might it soon be solved?

Billy Strings and Bryan Sutton have teased the impending arrival of new music. The pair, who previously released Live at The Legion, have tethered their talents to “The Devil Went Down to Deep Gap.” ...

Most robot headlines follow a familiar script: a machine masters one narrow trick in a controlled lab, then comes the bold promise that everything is about to change. I usually tune those stories out.

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...

The development of deep learning has motivated the advancement of unconventional computing that leverages analog physical systems such as analog electronics, spintronics, and photonics. These ...

Imagine listening to a recording of an orchestral performance, but because of a bad studio technician, the only instrument you can hear is the triangle. How would you know if you were listening to the ...