Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...

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 ...

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 ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

Spectral imaging is a vital tool for analyzing materials, monitoring crops, and tracking pollutants. But conventional systems face a major challenge as they ...

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

Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine learning framework. Researchers in Physics and Computer Science at the University ...

We are now looking for a Doctoral Researcher in quantum computing and algorithms. Are you as excited about quantum technology and its future applications as we are?

What: New analyses using early observations from the European Space Agency’s Euclid mission examine how galaxy mergers ...

SPIE Medical Imaging 2026 is a premier international symposium focusing on the latest research in medical image processing, physics, and computer-aided diagnosis. The event, which is in its 50th year, ...

Brazilian researchers have developed a methodology that uses remote sensing to map the impact of frost on corn crops. This reduces exposure to climate risks and uncertainty regarding agricultural ...