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 ...

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 ...

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 ...

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

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

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

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

What was it like to track the rising danger of this asteroid, and to ultimately determine that it’d miss us? This is the ...