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The point is more that from a parallel processing point of view, it's not just about solving equations more quickly. You end up with an architecture that's inherently optimised for associativity, and not for Turing-like linear computation.

E.g. when using Turing machines for video processing, you have to calculate each bit in the frame sequentially. That doesn't make it impossible to do associative recognition and processing, but it's inherently different - theoretically and practically - to working with entire frames, and using an associative memory that can retrieve relevant pattern information in a single operation.

You can fake associative processing sequentially, but certain kinds of processing remain impractical. With associative processing, they may not be.

So it becomes a game changer. Potentially you can't just do things more quickly, you can do entirely new things.

by ThatBritGuy (thatbritguy (at) googlemail.com) on Sat Aug 27th, 2011 at 07:00:20 PM EST
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