Explore more than 1,000 real-life examples of how organizations are embracing Microsoft’s proven AI capabilities to drive ...

Every year, thousands of new materials are created, yet many never reach their full potential because their applications aren't immediately obvious—a challenge University of Toronto researchers aim to ...

Imagine concrete that not only survives wildfires and extreme weather, but heals itself and absorbs carbon from the air.

Researchers have developed a novel method to detect and study how ice forms in mixed-phase clouds, significantly boosting scientists' ability to forecast weather and model climate change.

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Finding new materials with useful properties is a primary goal for materials scientists, and it's central to improving ...

Florida’s immigration detention facility located at an isolated Everglades airfield surrounded by mosquito-, python- and alligator-filled swamplands went from a video on X to reality in a matter of ...

Discover the top 10 agentic AI certification programs for mastering autonomous and multi‑agent AI systems, complete with ...

Training datasets for Matlantis’ core AI technology are now developed using r2SCAN, doubling accuracy in atomistic ...

The Python package PhaseFieldX, developed by researcher Miguel Castillón at IMDEA Materials Institute, has been published in the Journal of Open Source Software (JOSS) in a paper titled "PhaseFieldX: ...

Model checking is a fundamental technique for verifying finite state concurrent systems. Traditionally, model designs were initially created to facilitate the application of model checking. This ...