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 ...
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 ...
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...
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Machine learning could yield faster, cheaper lithium-ion battery development
Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...
New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...
The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...
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