Gaming has become a vital research area in the most advanced forms of decision algorithms, optimization, and procedural ...

Overview: AutoML is transforming data science by automating data preparation, feature engineering, model selection, and deployment workflows across enterprises.

From astrophysics to drug discovery, generative AI has enormous scientific potential. But there’s a caveat: Scientists must ...

The Dartmouth Rural Health Symposium, held May 12–13, 2026, at the Hanover Inn, drew researchers, clinicians, and community ...

AI meets isotope science: Machine learning is enhancing isotope analysis techniques, improving efficiency, accuracy, and insights into geochemical processes. Key hurdles remain: Data scarcity, limited ...

Implementing machine learning tools in wastewater treatment plants offers measurable benefits such as chemical cost ...

The AI machine learning model to detect a disorder that typically affects babies who are born early was developed by a team of University of Rochester researchers.

Astronomers using a new machine learning algorithm have identified 11,554 potential exoplanets in NASA TESS data, including more than 10,000 previously unseen candidates. If confirmed, this would ...

The role of machine learning and deep learning in wildfire prediction remains limited by geographic concentration, uneven ...

Five hundred thousand times per second, the Electron-Ion Collider (EIC) will record a collision.

Proton exchange membrane fuel cells (PEMFCs) are promising for zero-emission vehicles, but their sub-zero start-up capability remains a major hurdle. Freezing of product water inside the membrane ...