NTN applies AI and machine learning to accelerate bearing design, cut analysis time and reduce engineering workload.

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall accuracy across long time series. This design inherently favors common, low ...

Across science, medicine, and technology, one problem is becoming increasingly impossible to ignore: data fragmentation. At ...

A new study combines drone data, satellite observations, and ground-based flux measurements to examine methane emissions from ...

Poster Presentation at the 2026 Crohn's & Colitis Congress® Showcases Use of Causal Machine Learning and IBD Plexus® to ...

Researchers demonstrate fourfold improvement to LED steering results after enlisting the help of some good old-fashion AI Boffins at the Department of Energy's Sandia National Labs are working to ...

Zanskar has raised $115 million to find about a dozen geothermal resources that could help power the grid throughout the U.S.

Degradable pacemakers and artificial neurons showcase how flexible, tissue-compatible electronics are revolutionising medicine. But translating these materials from lab bench to clinic requires solvin ...

This collaboration enhances QT Imaging's Cloud SaaS Platform by integrating Olea Medical's advanced visualization, quantitative analytics and AI-ready imaging technologies to support clinical ...

Harvard University is providing seven free online courses in data science, each running for eight to nine weeks and requiring ...