A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

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

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Optical percutaneous needle biopsy techniques are revolutionizing tumor diagnostics, enabling real-time analysis 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 ...

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

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 ...

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 ...

New patent points to HbA1c estimation, providing blood glucose trends and not real-time feedback ...

Abstract: Communication in underground spaces faces significant challenges due to harsh environments and physical barriers that disrupt signal transmission. In complex settings like tunnels, mines, ...

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