The development of deep learning has motivated the advancement of unconventional computing that leverages analog physical ...

Researchers at the University of Pennsylvania have developed a powerful new optical chip that can process almost 2 billion images per second. The device is made up of a neural network that processes ...

In the winter of 2011, Daniel Yamins, a postdoctoral researcher in computational neuroscience at the Massachusetts Institute of Technology, would at times toil past midnight on his machine vision ...

Despite the wild success of ChatGPT and other large language models, the artificial neural networks (ANNs) that underpin these systems might be on the wrong track. For one, ANNs are “super ...

The RIKEN Center for Brain Science (CBS) in Japan, along with colleagues, has shown that the free-energy principle can explain how neural networks are optimized for efficiency. Published in the ...