A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

A recent effort, known as Omni-iEEG, brings together pre-surgical brain recordings from eight epilepsy centers, covering 302 patients and 178 hours of data. The dataset aligns clinical metadata under ...

In artificial intelligence research, scientists often describe parts of a model using simple algorithmic language. A small ...

Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by human activity. Many of these places, designated as Superfund sites by the ...

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...

Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by ...

The Indian white-collar landscape is witnessing a significant transformation as 2026 begins, marked by a powerful "V-shaped" ...

University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...

How new equipment and methodologies are improving reliability, yield, and time-to-market for multi-die assemblies.

Amazon Web Services is pushing deeper into agentic AI for healthcare, taking aim at common administrative tasks such as scheduling, medical histories, clinical documentation and coding. | Amazon Web ...