IBM creating pocket-sized Watson in $16 billion sales push
kurzweilai.net
kurzweilai.net
This could make a great pay-per-package product. Matlab and Mathematica do this, for instance, by making easy-to-use statistical or signal processing packages by subfield.
To expand on the example in the article, taking this into an easier to use interface for people like medical professionals would be awesome. A friend of mine who worked in an ER told me Wikipedia is actually used quite frequently. A program that could intelligently parse medical documents could be a great next step. It doesn't need to make actual diagnoses, but to jog the memory, an intelligent "these symptoms are consistent with pneumonia, bronchitis, or whooping cough" would probably be well-used.
Or for double-checking contraindications at pharmacies. Or for advising lawyers about applicable case-law. Or for reminding me about relevant studies as I do literature searches. Cool.
Edit: I imagine this will draw some comparisons to Siri, or its factual backend, wolfram Alpha. While wolfram Alpha is pretty sweet, I imagine context-specific question-parsing and machine learning would be much more powerful here (although I suppose wolfram Alpha/Mathematica could get into that game, too).
God help us, God help us all
I'd feel better about it if Wikipedia was innovating above and beyond the implementation of a wiki ... even if the solution is still crowdsourced. For example I would love to see the application of machine learning to the process of moderation, not unlike what Stackexchange is working on these days (http://blog.stackoverflow.com/2012/08/stack-exchange-machine...).
Circling back to the topic at hand, I would actually love it if "Watson" eventually has all of the data currently available in wikipedia. But with each fact cross-checked for validity against everything else he already knows.
So not actually a pocket-sized Watson, but a smartphone app that will connect to Watson. As long as you've got reliable internet access.
"Even though most of the computations occur at the data center, a Watson smartphone application would still consume too much power for it to be practical today."
They need to optimize Watson server side for it to become commercially.
p.s.: I for one welcome our new Blue Overlord.
A: Watson, the best hamburger I've ever eaten. Q: Where is St. John's bar and grill?
It would be the RPN of voice activated assistants.
I got a bit annoyed when the article kept conflating 'power' with 'number of cpu cycles running in parallel to get an answer.' I can tell you that we are no where near having the compute pipeline of 10 racks of Power750 servers in a co-processor in a smartphone.
I doubt if there exists any technology today that doesn't infringe on any IBM patent.
Run the numbers: who makes more mistakes in aggregate: machines like Watson or human doctors? I'll take whichever is less.