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Creators/Authors contains: "Konno, Shota"

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  1. ; ; ; ; ; ; (, IEEE)
    Event and frame cameras capture the complemen-tary spatial and temporal details of a scene providing an accuracy vs. latency trade-off. Fusing these processing modalities using convolutional (CNN) and spiking neural networks (SNN) respectively has been shown for target tracking. We present our heterogeneous RRAM compute-in-memory (CIM) and SRAM compute-near-memory (CNM) SoC for simultaneous processing of CNN and SNN. We will show the advantage of using fused vision over frame-only vision and demonstrate python programmable data streaming. The visitors will be able to see the processing-dependent dynamic power gating of non-volatile RRAM and in-memory error correction capability. 
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  2. ; ; ; ; ; (, 2020 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMCSI))
    null (Ed.)
    Full Text Available 
  3. ; ; ; ; ; ; ; (, 2020 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMCSI))
    null (Ed.)
    Full Text Available