In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for clean-energy reactions are screened, identified, and validated across ...

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 ...

Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...

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 ...

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 ...

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

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

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 ...

The Pittsburgh Supercomputing Center is pleased to present a Machine Learning and Big Data workshop hosted at Princeton University. This workshop will focus on topics including big data analytics and ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...