A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

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

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 ...

A particle collision reconstructed using the new CMS machine-learning-based particle-flow (MLPF) algorithm. The HFEM and HFHAD signals come from the ...

Ambuj Tewari receives funding from NSF and NIH. The microplastics project is funded by the “Meet the Moment” initiative of the University of Michigan's College of Literature, Science, and the Arts.

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...