In our model, the flow of traffic ... a deep learning model that should be able to predict the plasma’s behavior in a split second, but this is still a work in progress. In the past couple of years, ...

Travel budgets looked healthy in 2016 and the industry was feeling optimistic about innovation. Increased mergers and ...

Eric D. Boyd of responsiveX previews his VSLive! 2025 session at Microsoft HQ in August where he explains how Azure ML ...

To quickly sort through such a huge data set, they've turned to machine learning, a way of using computers to identify patterns and make predictions ... machine learning algorithms or relying ...

the periodic table of machine learning also has empty spaces. These spaces predict where algorithms should exist, but which haven't been discovered yet. The table gives researchers a toolkit to ...

One of the things that makes the main particle accelerator at the U.S. Department of Energy's Thomas Jefferson National ...

Researchers from Rice University (TX, USA) have developed a new machine learning algorithm that interprets optical spectra of molecules, materials and disease biomarkers in biological samples, ...

The study outlines the evolution from traditional surveillance to AI-enhanced systems capable of recognizing deviations in traffic behavior without human intervention. AI systems now detect anomalies ...

If there's one thing that characterizes driving in any major city, it's the constant stop-and-go as traffic lights change and ...

They used machine learning methods that probed down to the molecular level while also retaining quantum-mechanical accuracy of the various interactions. "As the number of material layers increases ...