Discover what agentic AI is and how AI agents work. Uncover the types of agentic AI systems, their enterprise use cases, ...

Indirect prompt injection attacks are now draining cryptocurrency from AI agents in production. Zscaler ThreatLabz documented ...

The Record Harm Ontology provides a rigorous taxonomy of how informational records can be damaged, destroyed, or corrupted. It distinguishes between prime harms (ontologically irreducible attacks) and ...

Abstract: This study, grounded in the theoretical framework of online course user experience (UX), developed and validated a comprehensive scale to evaluate learners' experiences in online courses and ...

We developed a novel speech and machine learning pipeline involving voice activity detection, feature extraction, and model training. We automatically modeled speech with pretrained deep learning ...

Conclusions: The results revealed major limitations in the literature reviewed, including significant variability in how user engagement is defined, a tendency to rely on user log-in data over other ...

Abstract: Swift advancements in large language model (LLM) technologies lead to widespread research and applications, particularly in integrating LLMs with auxiliary tools, known as tool-using LLM ...