AI and machine learning are reshaping how brands interact with their audiences and redefining campaign management, customer ...

At Cedars-Sinai, Moore and colleagues are immersed in agentic AI models, creating algorithms that make faster ... combines large language models with a dynamic "graph of thoughts" and biomedical ...

With such convincing familiarity, it’s worth exploring whether this cast’s connection was predestined, which brings us to the theater, with me shuffling through five different birth charts and ...

Abstract: Genetic programming (GP) has been widely applied to evolve scheduling heuristics for dynamic flexible job shop scheduling ... This paper proposes a KNN-based surrogate assisted GP algorithm ...

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is proposed for dynamic obstacle avoidance in dynamic environments to enhance the adaptability of the algorithm in complex environments. The simulation results indicate that ADL-ACO reduces the length ...