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

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

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

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

Google’s first-stage retrieval still runs on word matching, not AI magic. Here’s how to use content scoring tools accordingly ...

A recent analysis of thousands of social media posts reveals that losing a job alters the narrative landscape of a person’s ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

AI’s greatest economic impact will come not from automating tasks but from dramatically lowering the “translation” costs that keep teams, tools, and data from working together. By extracting structure ...

With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...