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> We believe that our GPU LSM is the first dynamic general-purpose dictionary data structure for the GPU. And now we wait and see if this is true, or if we'll
by vanderZwan 8y ago
> We believe that our GPU LSM is the first dynamic general-purpose dictionary data structure for the GPU.
And now we wait and see if this is true, or if we'll see Cunningham's Law in action[0]. Either way we'll learn something.
Anyway, a general-purpose dictionary data structure for the GPU sounds like it should unlock a whole lot of new possible use-cases, no? Are there any scenarios where this would be immediately beneficial?
[0] https://meta.wikimedia.org/wiki/Cunningham's_Law https://meta.wikimedia.org/wiki/Cunningham's_Law
- The_rationalist 8y agoI may actually use it for my natural language logic checker. (This experimental program analyse human text and detect if there is a reasoning error, if so, which one). It already has 100% of success for syllogisms. But I will in the future be hit by combinatorial explosion and gpu acceleration will help me, even if dictionnaries are not my main data structure.
- martindevans 8y agoThat sounds incredible. Is it publicly available somewhere?
- The_rationalist 8y agoThank you :) No, it's still too much in alpha stage. I will not describe my algorithms, but still, I don't use overhyped neural networks (which are not well designed for true NLU) instead I use a normal program like opencog which allow top-down inferences.
- vanderZwan 8y agoSpeaking of which, have you seen this? Maybe this alternative strategy fits your problem better than the standard "overhyped neural networks" ;) Good luck with your research! https://www.quantamagazine.org/new-ai-strategy-mimics-how-brains-learn-to-smell-20180918/ https://www.quantamagazine.org/new-ai-strategy-mimics-how-br...