the scientists attribute this in part to the careful work they put into the construction of the "descriptors," which are mathematical objects that must encapsulate the relevant physics of the system ...

In a paper published in Physics of Fluids, a pair of researchers from the City University of Hong Kong employed machine learning to more accurately model the boundary layer wind field of tropical ...

Forecasts powered by machine learning are proving to be faster and cheaper to produce than with conventional methods - and ...

Researchers at Duke University have uncovered the molecular inner workings of a material that could underpin next-generation ...

They published their new study in the journal Machine Learning: Science and Technology ... properties of a material at the quantum level. In physics, the algorithm may assist in studying systems ...

Unlike AI, humans are shaped by diverse needs: navigating a 3D world, socializing, avoiding conflict, fighting when necessary ...

PNN Bangalore Karnataka [India] 31 In today rapidly evolving technological landscape a deep understanding of Physics combined ...

NVIDIA's new Cosmos world foundation models can generate physics-accurate video to build up a training library, making AI ...

The PhD student will be trained in the fundamentals of particle physics and in Machine Learning for big data modelling and classification and Dr Bona will support them towards the development of ...

Researchers developed metabolomic aging clocks using machine learning, uncovering links between metabolite profiles, health ...

New science from the Wildlife Conservation Society (WCS) has mapped coral reefs across the Western Indian Ocean, uncovering unexpected pockets of climate-resilience that could offer hope for ...