Meta's work made headlines and raised a possibility once considered pure fantasy: that AI could soon outperform the world's best mathematicians by cracking math's marquee "unsolvable" problems en ...

We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...

Abstract: As an evolving frontier in the application of uncrewed aerial vehicles (UAVs), the incorporation of labor division intelligence from natural biological groups into UAV swarms is garnering ...

Abstract: This study addresses the challenge of generating high-quality motion plans within a short computation time using only a limited dataset. In the informed experience-driven random trees ...