Science

A new framework tackles the challenging problem of forecasting the movements of partially hidden agents, crucial for safe and reliable autonomous driving.

A novel machine learning framework enables efficient modeling of diverse energy storage systems, paving the way for greater participation in power markets.

A new framework leverages the power of artificial intelligence to create more customized, sustainable, and equitable urban plans.

Researchers have developed a novel framework that pinpoints manipulated segments in deepfake videos by analyzing inconsistencies in how the AI reconstructs authentic content.

Researchers have developed a novel technique that combines the power of deep reinforcement learning with the clarity of symbolic AI to create more transparent and controllable mobile network systems.

New research calls for standardized methods to unravel how training data and optimization choices shape model behavior beyond the weights themselves.

Researchers have developed a novel method to identify text generated by large language models, focusing on measuring the ‘distance’ between original and rewritten content.

Researchers have developed a novel method for estimating Gaussian graphical models by sequentially growing the network structure based on principles from information geometry.

A new framework, A2RAG, dynamically builds and refines evidence from knowledge graphs to improve the accuracy and efficiency of complex question answering.

A new forensic approach leverages subtle inconsistencies in AI-created videos to reliably distinguish them from authentic footage.