Pattern-recognition algorithms developed for biometric identification are now analysing internal engine components, allowing ...

A high school student’s algorithm processed 200 billion infrared detections, revealing 1.5 million cosmic objects the world ...

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...

If African governments rely primarily on foreign AI-native exploration firms, the informational premium the refined ...

The role of technology in optimizing ERP order processing has become increasingly important as businesses strive to improve ...

Cybersecurity researchers are warning that the foundations of digital trust are under strain as malware grows more adaptive, evasive and collaborative. In response, a team of Romanian scientists has ...

Reported accuracies were 86% (Random Forest) and 96% (convolutional neural networks), positioning retinal imaging as a ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

“Industrial AI must start with trusted data,” said Steve Mason, COO of Canary Labs. “Our historian has long been the foundation for operational visibility. By natively integrating with SORBA.ai’ SORBA ...