In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...

Researchers have developed a new LiDAR approach that makes it possible to image small objects with much greater precision and ...

Training-free framework that converts SAM3 into a real-time multi-class open-vocabulary detector. Achieves 55.8 AP on COCO val2017 (80 classes) at 15.8 FPS (4 classes, 1008px) on a single RTX 4080.

By focusing on six characteristics, the study claims you could reach "near-perfect accuracy" at detecting AI deepfakes.

Deepfake faces generated via artificial intelligence (AI) have become so realistic that they routinely fool people, with some ...

AI systems rarely fail for one reason; they fail when real-world conditions introduce complexity that teams did not fully ...

Researchers developed a daylight electroluminescence imaging method that enables detection of low-energy glass cracks in PV ...

Atomic defects can tune carbon quantum dots across UV to near-infrared light, guiding cleaner design of sensors, bioimaging ...

A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.

Abstract: Defect detection is a critical task in the manufacturing domain that is essential for ensuring product quality and operational efficiency. However, this task poses significant challenges due ...

Abstract: The automated identification of wood surface defects is crucial for maintaining product quality and maximizing resource efficiency in the timber industry. Yet, conventional deep learning ...

AI company Anthropic has disabled customer access to its most capable systems after the US government ordered it to suspend all use by foreign nationals, Anthropic said in a statement Friday evening.