The "Shivon Zilis-Show" continues. This onegoes more into detail, gives an outlook on where MI is heading in 2016 andfeatures a nice graphical summary of "all" MI startups
Cartographical representation of a self-organizing map based on Wikipedia featured article data. Distance is inversely proportional to similarity. The "mountains" are edges between clusters.. (source: By Denoir on Wikimedia Commons). A year ago today, I published my original attempt at mapping the machine intelligence ecosystem. So much has happened since. I spent the last 12 months geeking out on every company and nibble of information I can find, chatting with hundreds of academics, entrepreneurs, and investors about machine intelligence. This year, given the explosion of activity, my focus is on highlighting areas of innovation, rather than on trying to be comprehensive. Figure 1 showcases the new landscape of machine intelligence as we enter 2016: Figure 1. Overview of the machine intelligence landscape going into 2016. Image courtesy of Shivon Zilis.
https://www.oreilly.com/ideas/the-current-state-of-machine-intelligence-2-0