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

  1. Representing Piecewise-Linear Functions by Functions with Minimal Arity

    A new paper on arXiv by Anton Ponomarchuk explores the representation of continuous piecewise-linear functions. The research establishes a connection between the function's tessellation of the input space and the minimal number of arguments required in its decomposition using max functions. This work builds upon previous findings that demonstrated the tightness of the upper bound for such decompositions. AI

    Representing Piecewise-Linear Functions by Functions with Minimal Arity