IN-SENSOR & NEUROMORPHIC COMPUTING ARE ALL YOU NEED FOR ENERGY EFFICIENT COMPUTER VISION.
In this paper, researchers from the University of Southern California, the USC Information Sciences Institute, and Intel Labs propose an in-sensor computing hardware-software co-design framework for spiking neural networks that can reduce the energy consumption of a complex object recognition pipeline.
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In this paper, researchers from the University of Southern California, the USC Information Sciences Institute, and Intel Labs propose an in-sensor computing hardware-software co-design framework for spiking neural networks that can reduce the energy consumption of a complex object recognition pipeline.
In this paper, researchers from the University of Southern California, the USC Information Sciences Institute, and Intel Labs propose an in-sensor computing hardware-software co-design framework for… | Edge Impulse (a Qualcomm company)
In this paper, researchers from the University of Southern California, the USC Information Sciences Institute, and Intel Labs propose an in-sensor computing hardware-software co-design framework for spiking neural networks that can reduce the energy consumption of a complex object recognition...