Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

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 ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

SANTA CLARA, CA, Feb. 12, 2026 (GLOBE NEWSWIRE) -- SANTA CLARA, CA - February 12, 2026 - - ...

Ivan Stefanov, CEO and Co-Founder of NOTO, shares how AI, machine learning and unified platforms are reshaping financial crime prevention for institutions ...

A new AI tool that accurately predicts the need for a feeding tube could transform patient care and improve quality of life ...

Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of ...

As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, ...

The recent advent of AI is transforming daily life from streamlining routine tasks to augmenting productivity and ...