The vulnerabilities highlight a big drawback to integrating AI into software development workflows and the potential impact ...

The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for various real-world purposes, such as industrial quality inspection, ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...

Abstract: With the widespread application of unmanned aerial vehicles (UAVs) in various fields, anomaly detection in flight data has become increasingly important. However, temporal variations and ...

A tool for spotting pancreatic cancer in routine CT scans has had promising results, one example of how China is racing to apply A.I. to medicine’s tough problems. Self-service kiosks at the ...

Strengthen your agency’s edge by using AI code detection to spot risky AI-generated sections early and protect quality, security, and client trust. Build a repeatable review process by scanning repos, ...

Vibe coding — the fast-growing trend of using generative AI to spin up code from plain-language prompts — is quick, creative, and great for instant prototypes. But many argue that it's not cut out for ...

5.1 RQ1: How does our proposed anomaly detection model perform compared to the baselines? 5.2 RQ2: How much does the sequential and temporal information within log sequences affect anomaly detection?

Abstract: Deep learning for anomaly detection is one of the current hot topics in remote sensing. However, most deep learning-based methods require retraining or parameter fine-tuning when detecting ...

SmartAnom is a modular, low-code/no-code anomaly detection framework designed for researchers, engineers, and practitioners. It enables rapid benchmarking, hyperparameter optimization, explainability ...

Skin cancer is one of the most common types of cancer worldwide, yet it’s also among the most preventable when caught early. Every year, millions of people are diagnosed with skin cancer, and while ...