New research reveals that while widely visible research often gets cited in patents, the most semantically relevant science-and potentially the strongest driver of technological advancement-may lie in fully open access publishing models.
A new consensus-based approach minimizes communication between robots, enabling robust and resource-efficient coordination in complex environments.
A new approach uses artificial intelligence to automatically run physics simulations directly from visual data, streamlining the entire engineering workflow.
Researchers demonstrate a multi-robot service system leveraging aggregate programming to achieve robust and resilient task allocation in dynamic environments.
A new research agent, DataSTORM, combines database exploration with web research to autonomously discover knowledge and craft coherent narratives from complex data.
A new study explores the evolving needs and gratifications driving our increasingly intimate relationships with artificial intelligence.
A new perspective calls for autonomous agents capable of actively participating in accountability processes, fostering more robust and trustworthy socio-technical systems.
A new perspective on human-robot interaction argues for shifting the focus from maintaining control to issuing effective commands, aligning AI integration with established military doctrine.
A new approach leverages artificial intelligence to autonomously analyze vast language datasets, uncovering linguistic patterns beyond the scope of traditional methods.
Researchers have developed a novel simulation platform, Logical Robots, that combines high-level symbolic reasoning with low-level control for coordinating the behavior of multiple agents.