Live Demonstration: Hybrid RRAM and SRAM SoC for Fused Frame and Event Target Tracking.

Event and frame cameras capture the complementary 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.