
AI Blueprints
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The first thing we must do is to examine the recent and dramatic increase in the adoption of ML, specifically with respect to image processing. In 2016, The Economist wrote a story titled, From not working to neural networking about the yearly ImageNet Large Scale Visual Recognition Challenge (ILSVRC), which started in 2010 and finalized in 2017 (From not working to neural networking, The Economist, June 25, 2016, https://www.economist.com/special-report/2016/06/25/from-not-working-to-neural-networking). This competition challenged researchers to develop techniques for labeling millions of photos of 1,000 everyday objects. Humans would, on average, label these photos correctly about 95% of the time. Image classification algorithms, such as those we alluded to previously, performed at best with 72% accuracy in the first year of the competition. In 2011, the algorithms were improved to achieve 74% accuracy.
In 2012, Krizhevsky, Sutskever, and Hinton from the University...