Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

Banks and other institutions are eager to make use of the technology to lighten their burden, but they should be careful in ...

Discover the best Application Performance Monitoring (APM) tools that enable enterprises to enhance application performance, ensure seamless digital experiences, and drive long-term growth in 2025.

Across Japan, organizations are redesigning how work gets done in response to structural labor shortages. Many of these ...

Explore the essential incident management tools tailored for CIOs in 2025, focusing on AI automation, downtime reduction, and improved operational efficiency. Uncover their features, pricing, and ...

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.

US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...