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

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 ...

From super-resolution smartphone cameras to vehicles that can anticipate human movement, computer vision is undergoin ...

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

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

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

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

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 ...

Discover how Google DeepMind is using video games and generative AI to train advanced artificial intelligence for real-world applications.

When the top spotty fish in a tank disappears, the runner-up turns aggressive within minutes, rushing and nipping rivals ...

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 ...