Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Abstract: K-Nearest Neighbors (KNN) is a basic model in a ML field used for classification or prediction analysis owing to its efficiency. The following paper will be a survey paper focused on ...

Nick Acker, the worker who was killed Nov. 8, 2025, at a postal facility in Allen Park. (Stephanie Jaszcz and family) ALLEN PARK, Mich. – A worker was found dead in a machine at a postal facility in ...

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 ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Osteoporosis is a metabolic bone disease characterized by a decrease in the amount of bone per unit volume. It is highly prevalent and has a harsh impact on patients' lives. The development of ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...