Competition law has long treated communication between competitors as the lifeblood of collusion. The more transparent rivals become about pricing intentions, the greater the risk of coordinated ...

Muons tend to scatter more from high-atomic-number materials, so the technique is particularly sensitive to the presence of materials such as uranium. As a result, it has been used to create systems ...

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 ...

Artificial intelligence is being positioned as a catalytic force in reshaping biomanufacturing, with policymakers, scientists and industry leaders outlining a roadmap that blends computational power ...

Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...

Based on these challenges, a comprehensive reassessment of how AI should be deployed in electrocatalysis has become urgently needed. Addressing this need, a review published (DOI: 10.1016/j.esci.2025.

As AI reshapes white-collar work, experts reveal which Class 11 streams stay relevant and why digital literacy, adaptability ...

Market valued at $1.68B in 2024, projected to reach $4.58B by 2033 at 13.4% CAGR, driven by chronic wound prevalence ...

Scientists may have spotted a long-lost Soviet Union Lander, over 60 years after it vanished on the surface of the moon.

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

Vertiv™ Next Predict is a new AI-powered, managed service that combines field expertise and advanced machine learning ...