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 ...

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...

The icy ballet of stone upon ice makes curling one of the most intriguing sports of the Winter Olympics. But scientists still haven't quite figured out the physics of how they move.

An engineer by training, he used systems theory and quantitative analysis to examine criminal behavior, revealing the ...

Three generations of the Voigtländer family built one of Germany’s leading makers of cameras and lenses, with its origins dating back to the 19th century ...

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 ...

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 ...

Abstract: Accurate motion control in the face of disturbances within complex environments remains a major challenge in robotics. Classical model-based approaches often struggle with nonlinearities and ...

The L’Oreal UNESCO for Women in Science Young Talent programme recognises ten – five winners and five highly commended – ...

If your prompts influence policy, finance or patient care but live in chat threads, you don’t have innovation — you have unmanaged risk.

This integration addresses the fundamental barriers that have historically limited formal verification adoption: complexity ...