A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence ...

Abstract: Insulator defect detection (IDD) of transmission lines is crucial for power system safety and stability, with Un-manned Aerial Vehicle (UAV)-based machine learning methods becoming prevalent ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

Ray3 Modify introduces the next-generation hybrid-AI workflow for acting and performance, enabling brands and studios to guide scene evolution with greater predictability, continuity, and intent.

AI/ML enables better energy planning, including precise calculations to optimize the power mix as well as timing to garner financial incentives. Source: Emerson 72% of manufacturers using AI to reduce ...

Comet Technologies Canada Inc. today announced the launch of Dragonfly 3D World 2025, the latest version of its leading image processing software for 3D data. The new release delivers powerful tools ...

According to a new Physical Review Letters study, black holes could help solve the dark matter mystery. The shadowy regions in black hole images captured by the Event Horizon Telescope can act as ...

Harness Inc., a software delivery startup that provides artificial intelligence tools for developers to update and monitor applications as they go, today announced it acquired Qwiet AI, formerly known ...

AI and ML are transforming forensic applications with e-nose systems, offering rapid, cost-effective analysis for volatile organic compounds. A 32-element MOS sensor array enhances e-nose forensic ...

To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...

Abstract: In industrial production, automated inspection methods for circular knitting machines often encounter several challenges. First, the rapid movement of fabrics on these machines makes it ...