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

By 2030, agriculture in India could contribute $600 billion to GDP, driven by AI solutions. Sickle Innovations and Dayatani ...

For decades, cybersecurity relied heavily on signature-based detection and static rule systems. These tools were effective ...

NEW YORK and DAEJEON, South Korea, Dec. 11, 2025 /PRNewswire/ -- Korea Innovation Foundation (INNOPOLIS), currently operating ...

Surface inspection technologies, such as machine vision (MV), enable automated inspection processes, offering reliable analysis results and superior quality control. The integration of automation ...

Dinesh Kumar Reddy Basani is a Senior Consultant specializing in intelligent automation and robotic process automation, with ...

Cambridge spin-out Matta secures $14M to expand industrial AI that automates quality control & boosts factory efficiency ...

IND Technology has raised $50 million to scale its early fault detection technology, aimed at preventing power outages and ...

Technological Advancements: Significant improvements in inspection systems, particularly machine vision (MV) technology, have revolutionized the surface inspection landscape. Advanced cameras, ...