McGill University researchers have developed a more energy-efficient method of building AI systems that are better at measuring—and indicating—their own uncertainty. This will help users determine ...

Ultracold atoms and photons turned a frustrated spin glass into an unusual memory network with unexpectedly high storage ...

A new study has used a type of machine learning called a neural network to reveal how different kinds of training can change ...

Physics is most readily applied to relatively simple systems: a pendulum, two electrons colliding or the structure of the ...

A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time without ...

Researchers at St. Petersburg State University have integrated an intonational model into a neural network, making the artificial intelligence’s (AI) pronunciation sound more natural and familiar to ...

DeepSeek trained V4 Flash on 32 trillion tokens worth of training data. The company used an algorithm called Muon to speed up the training workflow. Muon reduces the amount of time required to ...

Artificial intelligence might now be solving advanced math, performing complex reasoning, and even using personal computers, but today’s algorithms could still learn a thing or two from microscopic ...

OptiScaler can now run NVIDIA's Neural Rendering DLL as an extra pass after DLSS. The mod also exposes model resolution ...