Copilot Studio agents are increasingly powerful. With that power comes risk: small misconfigurations, over‑broad sharing, unauthenticated access, and weak orchestration controls can create real ...

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, ...

Amazon Web Services on Tuesday announced three new AI agents it calls “frontier agents,” including one designed to learn how you like to work and then operate on its own for days. Each of these agents ...

“Grey’s Anatomy” actor James Pickens Jr. saves lives on screen, but says early detection saved his. The actor, who has portrayed Dr. Richard Webber on the ABC hit for more than 20 years, appeared in ...

Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...

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 ...