Watson is a great example of the graduation evolution of weak AI. It succeeds beautifully in its narrowly defined goals, but is still just a glorified statistic

Watson is a great example of the graduation evolution of weak AI. It succeeds beautifully in its narrowly defined goals, but is still just a glorified statistical search engine. It will not revolutionize AI anymore than Deep Blue did with Chess or the speech recognition software of the 90s did. To quote Jeff Halwkings "As Searle showed with the Chinese Room, behavioral equivalence is not enough. Since intelligence is an internal property of a brain, we have to look inside the brain to understand what intelligence is. As we'll soon see, there is an underlying elegance of great power, one that surpasses our best computers, waiting to be extracted from these neural circuits. ... For half a century we've been bringing the full force of our species' considerable cleverness to trying to program intelligence into computers. In the process we've come up with word processors, databases, video games, the Internet, mobile phones, and convincing computer-animated dinosaurs. But intelligent machines still aren't anywhere in the picture. To succeed, we will need to crib heavily from nature's engine of intelligence, the neocortex. We have to extract intelligence from within the brain. No other road will get us there. " I'd put my money on Deep Neural Networks or Hawkings' Hierarchical Temporal Memory approach to "revolutionize AI".