Deep Learning: The Fast Evolution of Artificial Intelligence

Deep Learning: The Fast Evolution of Artificial Intelligence

Just one of the slides from a presentation that I’m working up for an upcoming online presentation at Northwestern University, but it tells the story.

Brief history of AI in log-time scale
Brief history of AI in log-time scale

Just one more thought: here’s the rapid pace of evolution within just the image analysis realm of AI, largely due to multiple layers (sometimes, many, many, MANY multiple layers) of networks, a good fraction of which are Convolutional Neural Networks, or CNNs.

Winners and key players in the ImageNet competition over the last several years.
Winners and key players in the ImageNet competition over the last several years.

Error rates have dropped from over 15% to about 3% within just four years, from 2012 to 2016. Human error rates are in the 5-10% range.

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