A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

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 ...

Python’s been the language of data science since before machine learning was trendy, and now you can use it for building AI ...

Microsoft’s artificial intelligence tool BioEmu can predict the multiple conformational states of a protein, giving insight into how a protein moves and its potential function.

Start with the basics: get a handle on what AI is, why it matters, and how it’s used in the real world. Make a plan: figure ...

Camouflaged objects often blend in with their surroundings, making the perception of a camouflaged object a more complex procedure. However, most neural-network-based methods that simulate the visual ...

Not surprisingly, those trying to build truly local AI models for a region with so many under-represented languages have faced many obstacles, from a paucity of high-quality, high-quantity annotated ...

Book authors made the wrong arguments in Meta AI training case, judge says Judges clash over "schoolchildren" analogy in key AI training rulings.