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UCSD Researchers Give Computers Common Sense
- ivankirigin 19y agoCommon sense reasoning is one of the hardest parts of AI. I don't think top-down solutions will work. Look to a project like Cyc for one of the best efforts, and most wasted money http://www.cyc.com/ http://www.cyc.com/ You can't build a top down taxonomy of ideas and expect everything too work. You can't just "hard code" the ideas. I think building tools from the ground up, with increasingly complicated and capable recognition and modeling, might work. For example, a visual object class recognition suite that first learned faces, phones, cars, etc. and eventually moved on to be able to recognize everything in a scene, might be able to automatically perhaps with some training build up the taxonomy for common sense.
- pixcavator 19y agoI agree. On the last point, I'd start with even lower level - objects, how many, how large, etc, and only then try to figure out what those objects are. Also, I think it's interesting that it appears that the first successful AI will come from analysis of visual information (computer vision) not textual (like the recent Twine, or semantic web in general).
- mian2zi3 19y agoWonder how it would do on this image: http://media.funlol.com/content/img/cute-tennis-balls.jpg http://media.funlol.com/content/img/cute-tennis-balls.jpg
- henning 19y agoA point of relevancy to this site is that Serge Belongie started a biometrics startup while an undergraduate at Caltech. Failure for biometrics companies is even higher than normal for technology startups.
- falsestprophet 19y agoThis solution will become less relevant as the popularity of floating-bovine photography increases.