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Actually, it should be pretty easy. I have the recommendations system which is almost, but not quite, a neural network engine, and it is pretty darn fast. I have my own search engine which is also fast, it uses data compression to store all the indexes in memory (this makes it scale on SMP without being I/O bound). I have an idea as to how it would work as well. markw at mohawksoft.com remarked: | | Lately, I have been thinking about creating a neural network search | engine. I used to work for FAST Search and Transfer and am more than | casually aquainted with the difficulties. Combinine the two ideas gets a fast neural network search. What an idea! Sounds like an oxymoron. But I'd bet that people who've worked on neural networks are starting to figure out how to do it efficiently. I haven't followed that literature for some years, though, so I don't have any feel for it any more. | I probably have 90% of the code | already, but chances are someone patented some stupid aspect of it and is | waiting to sue. | | Yup, patents are good for innovation. Actually, it's set up so that the innovation can still happen. You and I do the development on our own, and show that it works. Then the big guys with money come in and use the patents to take over from the innovators and turn it into a product. "Sell the rights to your stuff to us or we'll bankrupt you with the legal costs." It's an old story.
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