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 ...

In an increasingly digital economy, many firms are turning to algorithms and machine learning to optimise pricing, improve ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

Dr. Michael Spaeder of the University of Virginia previews his upcoming HIMSS26 talk on using AI and machine learning to detect potentially catastrophic health events.

GUANGZHOU CITY, GUANGDONG PROVINCE, CHINA, February 10, 2026 /EINPresswire.com/ -- Variable Frequency Drives (VFDs) ...

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

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 ...

Could the Innovation in Non-Human Identities Be the Key to Enhanced Secrets Security? Where progressively leaning towards automation and digital transformation, how can we ensure that the creation and ...

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 ...