Innovative magnetic robots for steel bridge inspection utilize AI and advanced sensors, ensuring effective defect detection and structural health monitoring.

Machine learning is helping cyber teams process telemetry at scale to more quickly identify behavioral anomalies that might ...

The use of artificial intelligence has enabled researchers at the National Laboratory of the Rockies (NLR) to gain a greater understanding of two-dimensional (2D) materials that can be useful for ...

Explore the recent advances in fuzzing, including the challenges and opportunities it presents for high-integrity software ...

Learn how laser, eddy and other displacement sensors work and how they plug into IIoT PdM systems. They’re game changers on ...

Explore how six smart Singapore factories are using advanced technologies to gain global recognition in manufacturing. Read ...

Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...

AI-enabled measurement, intelligent packaging, advanced upcycling technologies, and bioaccessibility science are converging ...

Hash-based systems anchored in the National Center for Missing and Exploited Children (“NCMEC”) database remain ...

Operating in this space, TechForce Robotics incorporates AI-driven monitoring and real-time deviation detection into its robotic platforms. Although automation has improved operational efficiency, ...

A new research survey examined which FFF settings, materials and controls truly matter for the best part performance.

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...