The full comment [1] is a useful read: Let a thousand flowers bloom
On academic researchers having reservations about Hawkins approach, let me say it's not all of us. I was doing my M.Sc. in Computer Intelligence by the time *On Intelligence* was launched, and I have since followed his work with keen interest. My M.Sc. professor's work is centred on Weightless Neural Networks, a model largely developed in the UK which share many ideas with Sparse Distributed Memory, so Hawkin's Cortical Learning Algorithm isn't that alien to me. In fact I'm just now reviewing the CLA white paper with a view to get some ideas for my Ph.D. research. Besides Hawkin's work, in the last years there have been other attempts at modelling the brain that deserve mention. Chris Eliasmith's work on the Neural Engineering Framework (NEF) and Semantic Pointer Architecture (SPA) is based on perceptron-like neurons and gives more emphasis to pre-cortical brain structures. It's also more academic-friendly, with a number of peer-reviewed papers published. He recently published a book compiling the current state of his programme, How to Build a Brain<http://www.amazon.com/How-Build-Brain-Architecture-Architectures/dp/0199794545>, and maintains a web page for his Nengo <http://nengo.ca/> neural simulator. John Harris' Rewiring Neuroscience <http://www.rewiring-neuroscience.com/> is an intriguing, highly heretical work that starts with a seemingly out-of-the-blue assumption (what if neural output isn't a single bit, but can in fact convey a range of values) and from that draws together a number of overlooked results and fringe research into a surprisingly appealing model of brain function. I have tried to implement<https://www.researchgate.net/publication/225066202_A_Biologically-Based_Image_Template-Matching_Framework> some of his ideas with limited but encouraging results. I can't speak for other researchers, but personally I rather like all this work on AI and computer intelligence coming from private companies. Frankly, let to its own devices, academia does tend to drift around, and I think the private sector's need for results and solutions to practical problems is an important counterweight to this tendency. With the current interest in architectural models of intelligence, and the "coopetition" between companies and universities to achieve fulfilling implementations, maybe we can make Ray Kurzweil's 2030's deadline? I want to read John Harris's book, and will start it soon. Has anyone read the other book mentioned in the comment (How to Build a Brain)? [1] http://forums.theregister.co.uk/forum/1/2014/03/29/hawkins_ai_feature/#c_2148782 On Mon, Mar 31, 2014 at 12:03 AM, Vinh <[email protected]> wrote: > In the comment section, a guy mentioned John Harris and his book: > http://www.rewiring-neuroscience.com/ > > Is there anyone who has read his book and his research? What do you think > of his works? > > > > > On Sunday 30,March,2014 06:47:10 AM SGT, Chetan Surpur wrote: > >> This is a pretty good overview on the history and approach Numenta is >> taking towards machine intelligence. It's nice to see such balanced >> and forward-thinking coverage :) >> >> >> On Sat, Mar 29, 2014 at 2:09 PM, Viraj Sinha <[email protected] >> <mailto:[email protected]>> wrote: >> >> The Register published an extensive article on Jeff, goals for >> Numenta, and how Numenta relates to other machine learning >> approaches such as Vicarious. Check it out: >> >> http://www.theregister.co.uk/2014/03/29/hawkins_ai_feature/ >> >> >> _______________________________________________ >> nupic mailing list >> [email protected] <mailto:[email protected]> >> http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org >> >> >> >> >> >> _______________________________________________ >> nupic mailing list >> [email protected] >> http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org >> > > > > _______________________________________________ > nupic mailing list > [email protected] > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org >
_______________________________________________ nupic mailing list [email protected] http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org
