Researchers have developed a framework that leverages the power of large language models and semantic knowledge to significantly improve the accuracy of time series forecasting.
New research reveals that even sophisticated AI systems can be fooled by subtle manipulations of images, highlighting a critical vulnerability in multimodal perception.
New research highlights potential dangers to patient care stemming from inaccuracies and omissions in clinical documentation generated by emerging AI scribe technologies.
A decade-long study of top conferences reveals diverging trajectories in size and influence, challenging established hierarchies in the field.
As AI agents become increasingly integrated into critical systems, a robust security framework is essential, and researchers have developed a novel platform to proactively identify vulnerabilities.
New research reveals that a strategically aware attacker can leverage the learning process of reinforcement learning-based defenses to create significant vulnerabilities in interdependent networks.
Researchers have unveiled a new infrastructure and model, Nex-N1, designed to automatically generate complex environments and empower more capable autonomous agents.
New research reveals that K-12 students’ understanding of artificial intelligence significantly influences how they perceive its potential risks, ranging from personal learning challenges to broader societal concerns.
As Large Language Models tackle increasingly critical tasks, ensuring responsible deployment requires a new approach to security, accountability, and transparency.
A new analysis charts the expanding use of artificial intelligence throughout the criminal justice system, revealing key trends and potential impacts.