A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...

Machine learning models are designed to analyze large, heterogeneous datasets and identify complex relationships without ...

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to recognize biology may no longer be enough.

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

According to MarketsandMarkets™, the global Geospatial Intelligence Market is projected to grow from USD 37.13 billion in ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

Books with maps are like Captain Flint's buried loot in Robert Louis Stevenson's "Treasure Island"—a rare find, according to ...

Python''s popularity is surging. In 2025, it achieved a record 26.14% TIOBE index rating, the highest any language has ever reached, largely driven by AI and data trends. 58% of developers now use ...

A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used ...