A tragic start to 2026 has shaken a Queens community as two friends returning from New Year's Eve celebrations became ...

Abstract: Most of existing path finding problems focused on searching a path with the minimum cost, such as shortest-path length and shortest travel time. In this paper, we consider a new path finding ...

Abstract: The arduous and costly journey of drug discovery is increasingly intersecting with computational approaches, which promise to accelerate the analysis of bioassays and biomedical literature.

A state-of-the-art framework for intelligent cloud load balancing using Deep Reinforcement Learning. This project bridges the gap between cloud simulation and AI-driven optimization, providing ...