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Edge learning is a subset of AI in which processing takes place on-device, or “at the edge,” using a pre-trained set of algorithms. The technology is simple to setup, requiring vastly smaller image sets and shorter training and validation periods than traditional deep learning-based solutions. Needing no domain expertise for deployment, non-vision experts can train edge learning tools and generate accurate results in minutes, making it a viable automation solution for all—from machine vision beginners to experts.


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