Dr Sai Nethra Betgeri, an Assistant Professor at the University of Louisville, has been at the forefront of integrating ...

the scientists attribute this in part to the careful work they put into the construction of the "descriptors," which are ...

In an era of medical care that is increasingly aiming at more targeted medication therapies, more individual therapies and ...

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

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 ...

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 ...

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

Then the physics-based model converts these stress cycle predictions into a reliable estimate of the number of cycles to failure, or the fatigue life of the alloy. “Because the machine learning ...

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 ...

The role of artificial intelligence (AI) and machine learning (ML) has become highly significant in cybersecurity matters. They show promising potential, but what can they actually offer us to ...