A survey of world models for physical AI with uncertainty representation and control
A technical survey finds that reliable physical AI depends on co-designing learned world models, uncertainty representation, prediction horizons and closed-loop ...
A technical survey finds that reliable physical AI depends on co-designing learned world models, uncertainty representation, prediction horizons and closed-loop ...
A peer-reviewed review proposes IDEAI, a framework for representing, checking and revising the intent that guides embodied AI actions in ...
The National Science Foundation has renewed a five-year, $20 million award to NC State University's EngageAI Institute to develop self-improving ...
A new systematic review maps how embodied intelligence, from vision-language-action models to world models, is transforming robotic manipulation and what ...
A comprehensive new survey documents how reinforcement learning has become a foundational tool for aligning image, video, and 3D generative ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine