Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

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

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

An intelligent tax administration framework integrates data standardization, automated workflows, and dynamic risk modeling to enhance fraud detection in digital environments. By combining machine ...

Machine learning (ML) is a complex domain that sits squarely at the convergence of mathematics, computer science, and statistics. Its mastery demands profound knowledge, practical expertise, and a ...