Researchers at the Department of Energy’s SLAC National Accelerator Laboratory have built a generative AI model that reconstructs the three-dimensional geometry of molecules from the scattered ion ...

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...

Are Enterprises Overlooking the Risk Posed by Non-Human Identities? When organizations increasingly migrate their operations to the cloud, a critical element often slips under the radar: Non-Human ...

The peer-reviewed invited review in Brain Medicine titled "New approaches to enhance the diagnosis of psychiatric disorders," is freely available via Open Access, starting on 10 March 2026 in Brain ...

The National Highways Authority of India (NHAI) has released the first Annual Report on the National Highways Green Cover Index (NH-GCI) for 2025–26, introducing a satellite-based system to assess and ...

A wave of recent research has brought robotic touch sensitivity closer to human fingertips than ever before, driven by graphene-based composites and machine learning that let artificial skins detect ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, released a core quantum machine learning technology oriented toward sequential learning tasks—the ...

Connecting the dots: By applying machine learning techniques to satellite imagery, researchers have built an unprecedented database of man-made structures across the globe. The data could reshape ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Dwayne Johnson shines, but the movie around him tells the wrong story. By Alissa Wilkinson When you purchase a ticket for an independently reviewed film through our site, we earn an affiliate ...

This map depicts the predicted types of soil in Tokyo with an unprecedented level of detail. Such maps are essential for urban planning and earthquake risk assessment, as they reveal areas that are ...