If they made any substantial progress it may be because they used the neural networks in some kind of hierarchal model.
They are essentially using the different nets in a componential system. With component learning, the pieces may be used in different ways as long as there is something directing the program to do that. The current emphasis is on recognition training. Jim Bromer On Tue, Jul 15, 2014 at 12:22 AM, Ben Goertzel via AGI <[email protected]> wrote: > > ;) > > Hmm.. the quote about quantum physics is > > *** > “It’s like in quantum physics at the beginning of the 20th century,” > Chilimbi says. “The experimentalists and practitioners were ahead of the > theoreticians. They couldn’t explain the results. We appear to be at a > similar stage with DNNs. We’re realizing the power and the capabilities, > but we still don’t understand the fundamentals of exactly how they work. " > *** > > It is true that with deep learning, practice is way ahead of theory these > days. OTOH, quantum mechanics has some mysterious confusing-ness too it, > which deep learning doesn't really have.... What modern DL algorithms are > doing has made sense conceptually to a lot of people for a long time, and > the recent breakthrough results are not based so much on new conceptual > breakthroughs, as on the new availability of massive amounts of hardware > and associated operational software.... > > Still, "solving object recognition via DL" is a fair bit more AGI-ish than > "solving chess via alpha-beta pruning", for example These DL > architectures have a strong conceptual resemblance to one aspect of the > human mind-brain (parts of our visual and auditory cortices), whereas > alpha-beta pruning has a significantly lesser resemblance to stuff that the > human mind does (the human mind does some search like that, but on a far > lesser scale and only in tight interaction with a lot of other > processes).... > > I think these modern DL architectures bear moderately close resemblance > to something that could serve as a significant component of an AGI system. > In their details, though, they are not architected for integration with > other AGI components, unlike how the human visual and auditory cortices, > with their pronounced hierarchical sensory pattern recognition > functionality, are architected (well, evolved) for interaction with the > rest of the brain... > > -- Ben > > > On Mon, Jul 14, 2014 at 9:04 PM, David Hart <[email protected]> wrote: > >> I skimmed it. Is it a joke? DNN like quantum physics? Really? Do they >> really think the two are in the same league? >> >> -dave >> >> >> On Tue, Jul 15, 2014 at 11:52 AM, Ben Goertzel <[email protected]> wrote: >> > >> > This time from Microsoft... >> > >> > http://research.microsoft.com/en-us/news/features/dnnvision-071414.aspx >> > >> > -- >> > Ben Goertzel, PhD >> > http://goertzel.org >> > >> > "In an insane world, the sane man must appear to be insane". -- Capt. >> James >> > T. Kirk >> > >> > "Emancipate yourself from mental slavery / None but ourselves can free >> our >> > minds" -- Robert Nesta Marley >> >> >> >> -- >> David Hart | +852 9559 9580 >> OpenCog Foundation | http://opencog.org >> > > > > -- > Ben Goertzel, PhD > http://goertzel.org > > "In an insane world, the sane man must appear to be insane". -- Capt. > James T. Kirk > > "Emancipate yourself from mental slavery / None but ourselves can free our > minds" -- Robert Nesta Marley > *AGI* | Archives <https://www.listbox.com/member/archive/303/=now> > <https://www.listbox.com/member/archive/rss/303/24379807-f5817f28> | > Modify > <https://www.listbox.com/member/?&;> > Your Subscription <http://www.listbox.com> > ------------------------------------------- AGI Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/21088071-f452e424 Modify Your Subscription: https://www.listbox.com/member/?member_id=21088071&id_secret=21088071-58d57657 Powered by Listbox: http://www.listbox.com
