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Efficient AI For Edge Computing — Part 1: Background



LeNet’s convolutional neural network architecture, from LeCun et al., 1998.
AlexNet was the only deep learning/CNN-based approach, significantly more accurate than the rest.
Example of a labeled image with semantic segmentation information Image from BDAN.
Network inference time (lower the better) CPU and GPU comparison. Image from Stanford University.

Cloud AI vs Edge AI

Image source: devopedia

AI Needs To Be Efficient To Run At The Edge



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