The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports ...

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control.

Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

The People’s Liberation Army is preparing for a battlefield where humans and AI won’t just fight. They’ll also seek to ...

According to the 2025 DORA report, 90% of tech professionals report using AI in some aspects of their daily work. Yet that ...

The global economy is shifting from software intelligence to embodied AI — where algorithms meet physical production.

The data engineering trends clearly show a move toward maturity. The emphasis is on building reliable, repeatable, and ...

Artificial intelligence (AI) is set to transform the care of women with cancer. From early detection via digital phenotyping ...

Continuous learning doesn't rebuild detections. It tunes existing logic based on verified outcomes. The foundation (trained models, correlation rules, policy frameworks) stays intact. Feedback ...

This manuscript makes a valuable contribution to understanding learning in multidimensional environments with spurious associations, which is critical for understanding learning in the real world. The ...