Automated analysis of microscopic images offers a powerful new tool for predicting and managing under-deposit corrosion in ...

A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle ...

Advanced machine learning model, promises faster and more accurate estimation of wear-and-tear in industrial systems ...

The new AI-powered algorithm analyses high-resolution microscope images of metal surfaces to assess two crucial indicators of ...

The wearable, noninvasive CardioTag is designed to capture electrocardiogram, photoplethysmogram, and seismocardiogram signals, as well as heart rate and pulse rate.

US universities are integrating AI across all academic disciplines—from law to medicine—to prepare students for a tech-driven ...

Researchers at IISc and QSRTC developed an AI-based method to assess industrial corrosion using microscope images. The algorithm analyses deposit thickness and porosity to determine severity, ...

Bibek Bhattarai details Intel's AMX, highlighting its role in accelerating deep learning on CPUs. He explains how AMX ...

Psychological testing has evolved from Freud to AI and eye tracking. Technology adds depth, but theory and ethics must guide its use to ensure meaningful and equitable diagnoses.

AI & automation are revolutionizing materials discovery, enabling faster, and more sustainable breakthroughs across scientific fields.

AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached with caution.

Digital health tools in the reproductive space often blur the line between wellness and medical care, which can obscure their ...