Emerging Machine Intelligence Clusters

#artificialintelligence 

Machine Intelligence (AI, ML and Deep Learning) requires a certain calibre of computer science talent. Today, this kind of talent is at the "top of the stack" of computer science. These cutting-edge capabilities used to be found at universities, and work on publicly-funded blue sky research; today, companies have the talent, and use it for private, applied purposes. The Economist touched on this in "Million Dollar Babies": That race for talent, is catalysing acquisitions by corporates interested in adding AI to their products and services. As an example, Ex-Googler Sebastian Thurn estimated that the going rate for self-driving engineering talent is $10 million per person.

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