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 ...

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

A booth demo highlights why the Cognex In-Sight 3800 makes quick work of executing inspection tasks on high-speed ...

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 ...

Printability generally improved in 2025, with support for new squishier alternatives to TPU making 3D-printed bouncy balls a ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

Two-dimensional (2D) materials have emerged as a significant class of materials promising for photocatalysis, and defect ...

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...