There are some fascinating claims here. They point out there is general search (Google) compute search (Wolfram) and machine learning search (IBM Watson.) They claim they beat IBM Watson a lot of the time because its hard to apply for companies application sets. They claim Google’s approach is 70-80% tapped out. They claim their compute approach by contrast is only 10% tapped out on its potential.
I want to know what people would think of the fusion of the approaches. Seems inevitable as part of the AI picture.