Researchers have long been puzzled by the observed cooling of the eastern tropical Pacific and the Southern Ocean ...

A computational biology company that started in space tech is looking to change how biopharma finds disease targets by ...

Models, by definition, are approximations: useful, informative, and inevitably incomplete, because they are the only way to simplify a world too complex to grasp all at once. A new study on nitrous ...

Polymer micelles are tiny, self-assembled particles that are revolutionizing the landscape of drug delivery and nanomedicine. They form when polymer chains containing both hydrophilic and hydrophobic ...

Abstract: The capability to generate realistic hyperspectral imagery plays a prominent role in applications to sensor and mission development as well as in the training of machine learning models. Yet ...

While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the Polymathic AI collaboration are trained using real scientific datasets. The ...

A massive new study comparing more than 100,000 people with today’s most advanced AI systems delivers a surprising result: generative AI can now beat the average human on certain creativity tests.

An exclusive conversation with Kevin Weil, head of OpenAI for Science, a new in-house team that wants to make scientists more productive. In the three years since ChatGPT’s explosive debut, OpenAI’s ...

You’ve probably seen an artificial intelligence system go off track. You ask for a video of a dog, and as the dog runs behind the love seat, its collar disappears. Then, as the camera pans back, the ...

The use of AI models in scientific laboratories risks enabling dangerous experiments that could cause fires or explosions, researchers have warned. Such models offer a convincing illusion of ...

Our best models of the cosmos don't add up — but that could change if the universe is actually made of a viscous 'fluid,' a new paper suggests. When you purchase through links on our site, we may earn ...

Abstract: Representing and exploiting multivariate signals requires capturing relations between variables, which we can represent by graphs. Graph dictionaries allow to describe complex relational ...