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

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

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

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 ...

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

When developing a proposal, potential submitters are encouraged to consider compatibility with existing formats such as the ...

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 ...

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

"It's literally going to feel like a sci-fi movie," Figure AI founder Brett Adcock says.

Scientists at UCSF combined advanced brain-network modeling, genetics, and imaging to reveal how tau protein travels through ...

New research highlights how astrocytes, long considered mere support cells, actively shape brain network dynamics.