Abstract: Autoencoder (AE) is extensively utilized in hyperspectral anomaly detection (HAD) tasks owing to its robust feature extraction and image reconstruction capabilities. However, AE lacks ...

GitHub is adopting AI-based scanning for its Code Security tool to expand vulnerability detections beyond the CodeQL static analysis and cover more languages and frameworks. The developer ...

Anthropic launches AI agents to review developer pull requests. Internal tests tripled meaningful code review feedback. Automated reviews may catch critical bugs humans miss. Anthropic today announced ...

Japanese cybersecurity software firm Trend Micro has patched two critical Apex One vulnerabilities that allow attackers to gain remote code execution (RCE) on vulnerable Windows systems. Apex One is ...

A closely watched clinical trial in Britain that screened blood for early detection of cancer did not show a reduction in diagnoses at later stages of the disease. By Rebecca Robbins and Gina Kolata A ...

Abstract: Hyperspectral imaging (HSI) provides abundant spectral information for fine-grained target analysis, yet anomaly detection of camouflaged objects in UAV-based HSI remains challenging due to ...

Horror games are one of the best genres on Roblox, but the amount of jumpscares Scary Shawarma Kiosk the Anomaly brings is amazing. The game lets you run a shawarma shop while finding anomalies and ...

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, ...

Add Futurism (opens in a new tab) Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Researchers at Google’s ...

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?