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

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

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 ...

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 ...

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 ...

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.

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

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