The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year PhD student, a Johns Hopkins team has developed a machine ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...
Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.
Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...
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