Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

AI-based models are indeed more compact. Once trained, typically on 40 years of historical weather data from ECMWF, a machine-learning model like Google’s GraphCast can run on less than 5,500 ...

An analysis on 1,194 patients with NSCLC was performed to evaluate the prognostic signatures of quantitative imaging features, extracted with deep learning. 27 In our work, we trained machine learning ...

To delineate the metastatic microenvironment,, researchers in China have developed an explainable machine learning model that identifies key immune cells and cytokine markers linked to tumor ...

In a paper published in the March 18, 2024, issue of the Proceedings of the National Academy of Sciences, Diane Wang, an assistant professor in Purdue’s Department of Agronomy, and her post-doctoral ...

Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

Researchers in Denmark say they have used powerful machine-learning algorithms to accurately predict certain aspects of human lives, including how early someone is likely to die.

Apple's machine learning researchers have worked on myriad ways to improve Apple Intelligence and other generative AI systems, as its research papers accepted by a major AI conference demonstrate.