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 ...

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 ...

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 ...

“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, ...

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 ...

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.