South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.

AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...

Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

But this breakthrough doesn't stand alone; recent developments in plastic science and recycling include pyrolysis research to ...

According to A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges, published in Sensors, AI-based predictive maintenance systems ...

India’s autonomous future will not arrive overnight, and it will not look like anyone else’s. But step by step, through ...

Scientists have developed an AI system that can rapidly predict complex defect patterns in liquid crystals, cutting simulation times from hours to milliseconds. The approach could transform how ...

Security agencies continue to face a difficult tradeoff when screening for explosives and hazardous chemicals. Imaging systems such as X-ray and millimeter-wave scanners can quickly flag suspicious ...

FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...

A new study published in the journal of Scientific Reports proposed a potential diagnostic tool by combining deep learning ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

Spectrum Dynamics Medical, a global leader in digital nuclear medicine imaging solutions, today announced that it has received FDA 510(k) clearance ...