A liver cancer diagnosis frequently leads to surgery, with the goal of completely removing all malignant tissue. To ensure ...

The AI in data quality market presents opportunities in AI-driven analytics, real-time data accuracy, and automated data operations due to increasing cloud adoption, compliance needs, and digital ...

Object anomaly detection is essential for industrial quality inspection, yet traditional single-sensor methods face critical limitations. They fail to capture the wide range of anomaly types, as ...

PyTorch implementation for our NeurIPS 2025 paper, Normal-Abnormal Guided Generalist Anomaly Detection. Overview of our proposed framework. Given a test image and its corresponding reference images ...

Schneider Electric is acquiring Cognite, a provider of Agentic AI solutions, at a hefty 18.2 revenues. Cognite is growing ...

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

Abstract: Sea-surface small target detection is always a difficult problem in high-resolution maritime ubiquitous radars for complex characteristics of sea clutter, weak target returns, and diversity ...

Abstract: With the development of unmanned aerial vehicle (UAV) technology, a UAV is gradually applied to a variety of civil fields, such as photography, power line inspection, and environmental ...

Dr. techn. Ulrich Krispel ulrich.krispel@fraunhofer.at ...

These short anomaly-detection puzzles are designed to illustrate how reasoning often depends on identifying inconsistencies ...