Science

Researchers have developed a computationally efficient system that predicts potential accidents by analyzing broad video features, moving beyond traditional object detection methods.

A new framework leverages high-performance computing and Bayesian methods to strategically position offshore sensors for faster, more accurate tsunami detection.

A new framework leverages artificial intelligence to coordinate critical resources during disasters, minimizing public fear and maximizing the effectiveness of emergency services.

A new framework aims to mitigate downside risk and consistently generate alpha by intelligently combining momentum, risk parity, and robust optimization techniques.

New research suggests Bitcoin’s price movements are more closely tied to expectations of future monetary policy than to past actions themselves.

New research details a robust framework for protecting financial agents from manipulation and ensuring secure, compliant dialogue.

New research provides a robust framework for understanding and predicting collective behavior when individuals face limitations and interact within a shared environment.

A new reinforcement learning framework intelligently optimizes Kubernetes control plane placement across multiple regions to minimize latency and maximize resource utilization.

New research demonstrates how reinforcement learning, guided by reward machines, can intelligently manage radio unit sleep cycles in wireless networks to boost energy efficiency.

New research explores how disorder and self-similar geometry combine to trap electrons within complex fractal networks, revealing a critical transition from widespread to localized behavior.