As artificial intelligence becomes more powerful, its ability to handle humanlike tasks is undeniable. Artificial neural ...

Researchers in Vienna have redesigned dissipative quantum neural networks so each building block can implement any quantum ...

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.

Wits physicists have built an optical neural network that reads hidden topology in structured light without first imaging it, ...

These errors limit the accuracy of the final system. To overcome this limit, the researchers designed a "photonic multisynapse neural network" that processes information using light in a more direct ...

Researchers at the University of Texas have discovered a new way for neural networks to simulate symbolic reasoning. This discovery sparks an exciting path toward uniting deep learning and symbolic ...

“Foundation models are deep neural networks (such as GPT-5, Gemini~3, and Opus~4) trained on large datasets that can perform diverse downstream tasks — text and code generation, question answering, ...

For every motor skill you've ever learned, whether it's walking or watchmaking, there is a small ensemble of neurons in your brain that makes that movement happen. Our brains trigger these ...