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so due to the travel restriction in China recent in China the author is going to make it to the conference so I will be uh presenting their paper on their behalf so this paper is a basic focus of the authors is that theyamp;#39;re trying to develop a new uh technique thatamp;#39;ll allow faster deep learning inference at mobile devices by you know simultaneously utilizing the competing power of heterogeneous processors available in mobile devices including a CPU and GPU and we all know that currently the Deep learning technique has been the technical Foundation of both augmented reality and virtual reality Tech applications on mobile devices but in most cases when we are trying to do the Deep learning inference on these devices we are adopting mostly just on the lightweight models but then when we are trying to adopt a more expensive large models such as YOLO and so on we are experience we will be experiencing longer delay which is not acceptable for those real-time applications such
