The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Cambridge, MA – If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

This paper comprehensively surveys existing works of chip design with ML algorithms from an algorithm perspective. To accomplish this goal, the authors propose a novel and systematical taxonomy for ...

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 ...

ChatGPT and other solutions built on Machine Learning are surging. But even the most successful algorithms have limitations. Researchers have now proven mathematically that apart from simple problems ...

Can we ever really trust algorithms to make decisions for us? Previous research has proved these programs can reinforce society’s harmful biases, but the problems go beyond that. A new study shows how ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...