Science

A new neural sketch, Crane, efficiently distills the essential information from continuously evolving graph data, offering a significant leap forward in stream summarization.

A new framework combines predictive modeling and reasoning to create web agents capable of anticipating errors and improving task completion in complex online environments.

New research reveals that current anomaly detection models struggle with the complexities of real-world IoT deployments, necessitating a more rigorous and realistic benchmarking approach.

A new language model analyzes electrocardiograms to forecast cardiac events, offering a promising step toward proactive heart health management.

A new framework leverages composable contracts to guarantee performance and accountability across distributed AI services.

The convergence of agentic AI and advanced wireless networks promises enhanced security and privacy, but also introduces new vulnerabilities that demand careful consideration.

A structured approach to building and governing autonomous AI projects is essential for realizing their full potential and ensuring responsible development.

A review of medical data sharing, from the pioneering PhysioNet to today’s large foundation models, reveals both incredible promise and critical challenges for the future of AI in healthcare.

A new study of the Moltbook platform reveals that despite high levels of activity, artificial agent societies fail to replicate the complex social dynamics seen in human populations.

Researchers are leveraging neural networks to automatically calibrate complex labor market models, offering a more efficient path to understanding economic dynamics.