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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Non-Archimedean Polydisc Spaces and Applications to Optimisation

    Researchers have introduced a novel optimization framework utilizing non-Archimedean polydisc spaces, inspired by Berkovich geometry. These spaces, formed by products of closed balls over non-Archimedean fields, offer a blend of hierarchical structure and geometric properties suitable for optimization. The work includes theoretical developments on geodesic uniqueness and the approximation properties of specific function classes, alongside an open-source Julia library for implementing these optimization procedures. AI