21–30 of 39 posts
It would be really cool to see a refined use case for artifacts, i.e. detailed scanning and identification of sculpture by style and origin.
It couldn't identify smoke https://t.co/jlK6yswXGT
I gave it a pic of me, and it returned "person" - good.
I gave it a pic of my wife at a White House dinner, and it returned "construction" - a definite "What the heck?". I suppose this could have been a subtle political comment, but whoosh, I don't get it...
I gave it a pic I took of an F22 in a 9g turn (in afterburner) and it returned "afterburner" - surprised me that it ID'ed the aircraft's propulsion regime rather than calling it an aircraft, but nonetheless impressive. How do they get it to key on Mach diamonds?
Bookmarked. I'll check in occasionally to see how it's doing in its ascent to sentience.
Very impressive and I don't mind helping train it.
Here is a much better example of this type of classification engine: http://www.clarifai.com/#demo
R, Python and open software applications are going to be a very fierce contender in machine learning, image recognition, data mining and statistics. I wonder if close source is going to compete with the 5000 packages available in R and in the future more and more people are going to be able to improve on the shoulder of giants.
Well, the philosophy for the Wolfram language is different. Basically, their approach seems to be "put everything imaginable in the standard library", which is kinda awesome, actually. Should be more coherent and discoverable.
Everything I uploaded resulted in a ridiculously inaccurate response. Here is a much better example of this type of classification engine: http://www.clarifai.com/#demo