Carbon materials, such as carbon fibers and activated carbons, are essential across a wide variety of fields, encompassing everything from aerospace engineering to fuel cells and thermal insulation.

Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...

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

The accounts payable and accounts receivable functions (AP/AR) have long been targeted for fraud, but widely accessible artificial intelligence (AI) is making business scams more convincing, more ...

MCP tool poisoning turns trusted AI agents into a control plane for data loss. Learn how threat actors manipulate tool ...

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 ...

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 ...