A new study has revealed the growing but poorly understood presence of AI coding agents within the open-source software ecosystem, employing a multi-layered detection framework to analyze over 180
A new multi-agent framework promises to secure Retrieval-Augmented Generation (RAG) systems against privacy leakage while preserving the contextual richness of retrieved information. RAG enhances
A new research preprint proposes leveraging quantum communications to improve the efficiency and privacy of distributed machine learning training, specifically targeting the ring all-reduce
Extended reality (XR) applications are pushing the limits of 5G and future 6G networks, demanding extremely high data rates and ultra-low latency to achieve truly immersive virtual experiences.
Machine learning-based malware detectors become obsolete over time as both benign and malicious applications undergo concept drift, shifting the underlying data distributions. Recent approaches have