The Doñana National Park, considered one of Europe's most valuable wetlands, is expected to lose its marshland in 61 years, according to calculations from a major water-resource monitoring study ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

WENZHOU CITY, ZHEJIANG PROVINCE, CHINA, February 10, 2026 /EINPresswire.com/ -- The global packaging industry continues ...

When he was just a teenager trying to decide what to do with his life, César de la Fuente compiled a list of the world’s ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of configurations and complex patterns, making simulations ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Abstract: Exponential growth of unstructured data in the form of text documents, emails, and web content presents a noticeable challenge to automated data extraction. This kind of data has much more ...