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

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

Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.

Reported accuracies were 86% (Random Forest) and 96% (convolutional neural networks), positioning retinal imaging as a candidate scalable tool for underserved populations. AI-powered polarized-light ...

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 ...

AI is rapidly reshaping the landscape of surgical oncology. However, its true potential lies not in isolated tools, but rather ...

Researchers at the Department of Energy's SLAC National Accelerator Laboratory and collaborating institutions recently built ...

Several years ago, my linguistic research team and I began developing a computational tool we call "Read-y Grammarian." Our ...

OpenAI’s GPT-5.4 mini and nano models cut costs and latency while staying close to flagship performance, giving developers faster AI options for real-time apps without sacrificing core capabilities.