Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...

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

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 ...

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.

“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, ...

Gear-obsessed editors choose every product we review. We may earn commission if you buy from a link. Why Trust Us? AI neural networks require about one million times more power than human brains use.

This research shows that photonic neural networks don't need to follow the same rules as digital ones. By using the physical properties of light directly—rather than trying to simulate them—scientists ...