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> allowing you to build a full Q&A/dialog application. > If you have any questions, please fire up, the Watson team is ready to answer. So that's what you built Watson for :-)
We'd love to do an automated AMA. We are not yet there but if the community provided some training data I believe it's within reach. Give us a couple of years!
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If anyone is not going to be RA'd it's Watson group. There is a lot riding on the success of Watson.
Agreed, it's hard to find any other marketable IP in IBM's portfolio.
http://en.wikipedia.org/wiki/List_of_top_United_States_paten...
In other news, Watson will be RA'd at the end of the month.
If anyone is not going to be RA'd it's Watson group. There is a lot riding on the success of Watson.
Two things that jumped out at me: 1. No "special characters" allowed in passwords when creating an account. 2. ...where's the REST API? I've "added a service" (TTS), but I have to write a webapp to expose it over HTTP? It sure is a different experience than your typical API documentation.
@IBM people: Is there any information available yet either regarding future pricing, or regarding timeline for getting pricing information?
For example, I searched Google for "photo of girl", and found this image which seems very easy:
http://www.wagggsworld.org/shared/uploads/img/rachel-s-p-pho...
Watson says:
Color 71%
Human 67%
Photo 65%
Dog 59%
Person 57%
Placental_Mammal 56%
Animal 50%
Long_Jump 50%
This isn't me cherry picking bad results; aside from their demos I'm not finding any photos that are accurately classified. I even tried a headshot of a person isolated on a white background, and Watson told me I uploaded a photo of "shoes".
Seriously - how is this data useful? What could I build with this level of accuracy?
Watson team - do you agree? Is this product about to get a lot better, soon, or is this considered "pretty good"?
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We'd love to do an automated AMA. We are not yet there but if the community provided some training data I believe it's within reach. Give us a couple of years!
Is the Watson platform dependent on the hardware, or do you keep updating the hardware that it runs on?
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Make sure you use a headset, not your laptop's microphone.
That's not a reasonable requirement. It only sounds like one to you because the technology has been so bad for so long.
I've been uploading the easiest photos I can find to the visual recognition demo[1], and its yet to get one right. For example, I searched Google for "photo of girl", and found this image which seems very easy: http://www.wagggsworld.org/shared/uploads/img/rachel-s-p-pho... Watson says: Color 71% Human 67% Photo 65% Dog 59% Person 57% Placental_Mammal 56% Animal 50% Long_Jump 50% Huh? This isn't me cherry picking bad…
We are also believe that the first applications (e.g., classifying animals or plants or landmarks in dedicated apps) will have narrower use case that give better accuracy.