Bringing AI agents and multi-modal analysis to SAST dramatically reduces the false positives that plague traditional SAST and rules-based SAST tools.

Abstract: Recent advancements in neural networks have driven notable progress in image denoising. Nevertheless, conventional supervised approaches rely heavily on large datasets of paired noisy and ...

Environment-dependent. It depends on the underlying C runtime and may return different values in different environments. May not be accurate. In most cases, it is accurate to within ±1 ULP. Of these, ...

Abstract: Serverless computing converts services into multiple containerized functions, greatly enhancing the flexibility of edge applications. To guarantee Service Level Objectives (SLOs), it is ...

MedSage is an intelligent study companion designed specifically for medical students. It provides syllabus-aligned answers with textbook citations, personalized study plans, and offline support to ...