Efficient edge inference benchmarking for AI-driven applications

Deep learning (DL) algorithms have achieved phenomenal success in different AI applications in recent times. Training DL algorithms require huge computational resources. Therefore, cloud or high-performance computing at the edge are obvious choices for this task. However, during inference cloud computing is not a suitable choice because of latency issues. There are billions of devices […]

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