Mechanistic interpretability is emerging as a strategic advantage for businesses looking to deploy AI responsibly.

Humanoid robots will soon be common, says Brett Adcock, founder of robot company Figure AI. In time, "the humanoid robot will ...

Recent research has employed chemical reaction networks (CRNs), which harness biochemical processes for computations that translate interactions involving biochemical species into graphical form.

Learn how to build your own GPT-style AI model with this step-by-step guide. Demystify large language models and unlock their ...

A new study utilizes compact neural networks to uncover the underlying mechanisms behind human decision-making. Scientists have long studied how people and animals make decisions, often looking at how ...

Researchers have uncovered how primate brains transform flat, 2D visual inputs into rich, 3D mental representations of ...

Neural networks first treat sentences like puzzles solved by word order, but once they read enough, a tipping point sends ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...

The starting point of a FlexOlmo project is a so-called anchor AI model. Every organization that participates in the project ...

Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.