Rail transit vehicles endure large loads, high speeds, and harsh environment, leading to component failure. The first-layer interpretable paradigm (FLIP) embeds human prior knowledge into smart ...

This project implements a reconfigurable CNN coprocessor based on the RISC-V instruction set architecture, targeting efficient edge AI inference on FPGA. The coprocessor supports convolution, pooling, ...

Emil Björnson (Fellow, IEEE) received the M.S. degree in engineering mathematics from Lund University, Sweden, in 2007, and the Ph.D. degree in telecommunications from the KTH Royal Institute of ...