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.

Humans have struggled to make truly intelligent machines. Maybe we need to let them get on with it themselves. A little stick figure with a wedge-shaped head shuffles across the screen. It moves in a ...

Researchers at the University of Illinois at Urbana-Champaign have successfully used stem cells to engineer living biohybrid nerve tissue to develop 3D models of neural networks with the hopes of ...

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 ...