New research shows that AI-coding assistants increase defect risk by at least 30 percent when applied to unhealthy code, with ...

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...

Researchers at Chungnam National University have developed a deep learning method that predicts stable defect configurations in nematic liquid crystals in milliseconds rather than hours. This rapid ...

Örebro researchers Rajesh Patil and Professor Magnus Löfstrand have developed an AI system that detects welding defects, ...

System reliability and safety are paramount across industries such as semiconductors, energy, automotive, and steel, where even microscopic cracks or defects within structures can critically affect ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

Key opportunities in the surface vision and inspection market include rising demand for AI-driven 3D inspection, robotic ...

Wafer breakage is the most serious impact of killer crystalline defects. About 0.1 to 0.2% of silicon wafers break. The ...