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The article discusses a heterogeneous processor based on an open source 64-bit core of the RISC-V architecture, combined with a reconfigurable neural network accelerator. The features of the implementation of a binary matrix neural network on FPGA and its combination with the RISC-V RV64GC core in tasks of cognitive robotics and industrial production are investigated in order to increase safety in the interaction of a robot and a person.
A. Zelensky,A. Alepko,V. Dubovskov, andV. Kuptsov
"Heterogeneous neuromorphic processor based on RISC-V architecture for real-time robotics tasks", Proc. SPIE 11543, Artificial Intelligence and Machine Learning in Defense Applications II, 115430L (20 September 2020); https://doi.org/10.1117/12.2574470
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A. Zelensky, A. Alepko, V. Dubovskov, V. Kuptsov, "Heterogeneous neuromorphic processor based on RISC-V architecture for real-time robotics tasks," Proc. SPIE 11543, Artificial Intelligence and Machine Learning in Defense Applications II, 115430L (20 September 2020); https://doi.org/10.1117/12.2574470