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 ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
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 ...
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 ...
RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.
Morning Overview on MSN
Machine learning is turbocharging cheap lithium-ion battery design
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results