Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks (aarushgupta.io) AI

A June 2026 explainer on Aarush Gupta’s blog describes how Kolmogorov-Arnold Networks can be implemented on FPGAs for ultrafast inference by turning learned univariate edge functions into LUT-based circuits, citing a 2700x speedup over prior KAN-FPGA implementations. It also outlines extending this LUT-based approach to real-time on-FPGA online learning for sub-microsecond timescales, referencing related FPGA and ICML 2026 work.