robertfortner

4 ms·

1.
Why there will never be a model of a cell(robertfortner.posterous.com)
1 points by robertfortner 14y ago|0 comments
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Goodbye Mars, Hello Malaria: Bill Gates Imprimatur on Science & the 21st Century(robertfortner.posterous.com)
2 points by robertfortner 16y ago|0 comments
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by robertfortner 16y ago
To some degree, I'm critiquing Ray Kurzweil who generalizes about progress. So, for better or worse, I take a lesson from that which is to be empiricist: look closely at each field to see whether it's vaulting forward or not. It's not happe
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by robertfortner 16y ago
Correct surmise: I'm not a speech recognition researcher. I'm a science and technology writer. I was very surprised to find that recognition accuracy stopped getting better a long time ago. I do poke fun, but I also think Kurzweil (as I sai
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by robertfortner 16y ago
What word(s) are we looking at in the .gif?
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by robertfortner 16y ago
Thanks for reading. But I think a key take-away is that even with infinite computing power, you only increase the chance of being right a little. It's still a guess. That's the real surprise. It's not a question of computing power.
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by robertfortner 16y ago
I'd say they aren't really conflicting. Commercial speech recognition really started in the medical field. Accuracy is much higher with a controlled vocabulary. Speaker-specific characteristics, e.g. accent, by contrast are much harder for
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Rest in Peas: The Unrecognized Death of Speech Recognition(robertfortner.posterous.com)
138 points by robertfortner 16y ago|86 comments