Domain: beanblossom.in.us
Stories and comments across the archive that link to beanblossom.in.us.
Comments · 6
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Re:True AI?
Seems to just be a more realistic version of something like PolyWorld. Still quite interesting.
If you want a "AI" that borders on a consciousness, you don't want to start at this level - that's way too much work. You want to algorithmicly be simulating entire cells or even groups of cells at once, instead of components of cells. The higher up you can shift the behavior, the more computation you can get done.
Hmm... this may tempt me to play with Framsticks and Avida some more. :) -
Yaeger, Kay and Newton Handwriting RecognitionThe 2nd version of Newton's Print Recognizer, featured in Newton OS 2.x (from the Newton 130 on, I think) was a vast improvement, as it has been metioned before here and elsewhere.
What has not been metioned (osnews is down at the moment so I can't verify it there) is that unlike the first generation software, the second generation recognition engine (now alive as Inkwell in Mac OS X) was developed in-house at Apple, in the Advanced Technology Group (ATG)
Apple-Newton Handwriting Recognition's lead was Larry Yaeger (who worked with Alan Kay at Apple) and is now at Indiana University where he's back at Artificial Life research. -
Yaeger, Kay and Newton Handwriting RecognitionThe 2nd version of Newton's Print Recognizer, featured in Newton OS 2.x (from the Newton 130 on, I think) was a vast improvement, as it has been metioned before here and elsewhere.
What has not been metioned (osnews is down at the moment so I can't verify it there) is that unlike the first generation software, the second generation recognition engine (now alive as Inkwell in Mac OS X) was developed in-house at Apple, in the Advanced Technology Group (ATG)
Apple-Newton Handwriting Recognition's lead was Larry Yaeger (who worked with Alan Kay at Apple) and is now at Indiana University where he's back at Artificial Life research. -
Re:Sweet hack!
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not much research at Apple anymoreApple did not single-handedly invent handwriting recognition (the techniques they used are very similar to those used by speech recognition and other handwriting recognition research), but they had the vision and foresight to be the first to try and build it into actual devices. You can find Larry's papers here.
The sad thing is that, today, Apple isn't doing much of that sort of research and development anymore. As far as I can tell, Apple's ATG (Advanced Technology Group) doesn't exist anymore. Most of the people who used to do this kind of research have moved on to other jobs. Microsoft Research is much larger and much more visible in the scientific community than whatever remnants of research may remain at Apple. But Microsoft still produces lousy products despite the large amounts of money they invest in research.
I think in the long run, Apple needs to invest heavily in research anymore or they'll be in trouble. And Microsoft needs to figure out how to take research results and put them into their software more successfully; unlike, say, IBM, Microsoft did not start out as an innovation-driven company, and probably lack the mechanisms for moving research results into products.
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Newton Clarification
The Newton does not use Graffiti for HWR. While it was available for the older models (OMP, 110, 120a), the updated system in models 120b, 130, 2000, 2100, eMates was far superior and graffiti was pretty useless there. For what it's worth, the Newton system was based on Neural Net technologies in part developed by Larry Yaeger called "Rosetta" Ref: http://www.beanblossom.in.us/larryy/ANHR.IEEEExpe
r t.html (will should in new window if the TARGET wasn't filtered out.) An interesting easter egg in the Newtons: write: "rosetta! rosetta! rosetta!" and the newton will respond "Hey, that's me!" -Jeremiah S. Junken