Care to share links to those labs' websites/relevant papers? I'm a deep learning researcher, and I've been noticing this gap that you mentioned between the DL community and what everyone else in AI is doing, and think it might be worthwhile trying to bridge that gap.
Google for publications by Deep Mind, Ogma, Good AI, Open AI, Numenta, OpenCog, 'Towards Deep Developmental Learning', projects related to new DARPA program 'L2M'. Also search for projects labeled AGI.
I'm unfamiliar with most of those, but aren't Deep Mind and Open AI pretty standard sources of knowledge in the DL community these days? I say this as a practitioner who has read some things from both, and had the impression that while cutting-edge, they are both "traditional" DL-focused institutions at the moment, not so concerned with AGI.
Re:The AI Misinformation Epidemic
by CuriouslyC on Tuesday March 28, 2017 @09:23AM
(#13976334)
Honestly I think trying to top down design general intelligence is a mistake. The only model of intelligence we have resulted from the gradual agglomeration and integration of narrow intelligences. Not only is it a demonstrated path, but at every point along the way it is useful. Nature has given us a great roadmap, all we have to do is follow it.
Nature do not always give the correct roadmap. Planes are no birds. Humans tried for a long time to mimic birds with flapping wings and failed, sometime to their death. I think it may be the same with AI: trying to mimic human, or even animal's intelligence is the wrong path. We need to find "Computer intelligence", which might be very different in its process and usage.
But there are groups who are combining cutting edge neural network research with AGI and seriously trying to build general intelligence. Researchers who are working on narrow AI tasks and are familiar with this will continue to be incredulous right up to (and possibly beyond) the point where they see a system that seems intelligent to them.