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This post explains the author's Master's thesis on using Kolmogorov-Arnold Networks (KANs) for ultrafast machine learning on FPGAs, achieving sub-microsecond inference and online learning via custom hardware architectures. It references two accepted papers: KANELÉ for LUT-based evaluation (FPGA 2026 Best Paper) and a method for on-FPGA online learning (ICML 2026).