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These communities have different goals from the very beginning. Pattern recognition vs. real intelligence, which is what HTM is about. Hawkins describes this ga
by bra-ket 11y ago
These communities have different goals from the very beginning. Pattern recognition vs. real intelligence, which is what HTM is about. Hawkins describes this gap well in his book.
But there is some cross-pollination, see the recent projects by Stan Franklin's lab on Sparse distributed memory and composite representations, it's a step towards integration with deep learning: http://ccrg.cs.memphis.edu/assets/papers/theses-dissertations/Snaider_dissertation.pdf http://ccrg.cs.memphis.edu/assets/papers/theses-dissertation...
On the other hand check out the work by Volodymyr Mnih from DeepMind https://www.cs.toronto.edu/~vmnih/ https://www.cs.toronto.edu/~vmnih/, reinforcement learning with "visual attention" is a step towards consciousness models of the HTM/SDM/LIDA camp.
- paulsutter 11y agoI was also under the misapprehension that deep learning is just about classification, but that isn't true. Yes, reinforcement learning is the path to general intelligence, and the deep learning community is showing impressive progress on that front as well. The Deepmind demo [1] and the recent robotics work at Berkeley[2] are good examples. Thanks for the link to Stan Franklin's work. I'm glad to hear there is work to integrate the two approaches. [1] https://www.youtube.com/watch?v=EfGD2qveGdQ https://www.youtube.com/watch?v=EfGD2qveGdQ [2] http://newscenter.berkeley.edu/2015/05/21/deep-learning-robot-masters-skills-via-trial-and-error/ http://newscenter.berkeley.edu/2015/05/21/deep-learning-robo...