Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...

A new technical paper titled “Hardware Acceleration for Neural Networks: A Comprehensive Survey” was published by researchers at Arizona State University. “Neural networks have become a dominant ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

How do brains learn? It’s a mystery, one that applies both to the spongy organs in our skulls and to their digital counterparts in our machines. Even though artificial neural networks (ANNs) are built ...

The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.

James Fodor is a PhD candidate at the Brain, Mind & Markets Laboratory, Department of Finance, Faculty of Business and Economics, University of Melbourne. Recently developed artificial intelligence ...