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- W4286571851 abstract "We present a highly flexible micro-robotic vision SoC featuring a hybrid Processing Element (PE) for efficient processing of both Convolutional Neural Network (CNN) and non-CNN vision tasks with 2MB embedded MRAM for retentive fully-on-chip weight storage. Fabricated in 22nm, the design achieves 0.22nJ/pix for Harris corner detection (a non-CNN vision task) and 3.5TOPS/W (INT16) for CNN, a 60% efficiency improvement over state-of-the-art NVM-based NN ASICs." @default.
- W4286571851 created "2022-07-22" @default.
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- W4286571851 date "2022-06-12" @default.
- W4286571851 modified "2023-10-18" @default.
- W4286571851 title "A 22nm 3.5TOPS/W Flexible Micro-Robotic Vision SoC with 2MB eMRAM for Fully-on-Chip Intelligence" @default.
- W4286571851 doi "https://doi.org/10.1109/vlsitechnologyandcir46769.2022.9830340" @default.
- W4286571851 hasPublicationYear "2022" @default.
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