Hmmm. I’m wondering if this is another project I could assign to my AI class to 
provide some preliminary experimentation. 

—matt

> On Feb 8, 2017, at 11:55 PM, Ben Goertzel <[email protected]> wrote:
> 
> Moshe Looks (originator of the MOSES subsystem of OpenCog) and some
> colleagues at Google have a new release,
> 
> https://research.googleblog.com/2017/02/announcing-tensorflow-fold-deep.html
> 
> It's fairly subtle but the crux as I currently understand it is, it
> provides a way to make it more efficient to train tensorflow models
> over graphs rather than vectors...
> 
> This could have some uses in the OpenCog universe, e.g. if we wanted
> to do clustering of little trees or sub-hypergraphs or whatever, we
> could perhaps try unsupervised LSTM in Tensorflow for unsupervised
> classification...
> 
> As one example, this could be used to cluster words into "part of
> speech" categories based on various (syntactic and semantic) data
> associated with the word, in the simplest case using TreeLSTM....
> Whether this would work better than EM clustering or GP clustering or
> other stuff I have no idea though...
> 
> -- Ben
> 
> 
> 
> -- 
> Ben Goertzel, PhD
> http://goertzel.org
> 
> “I tell my students, when you go to these meetings, see what direction
> everyone is headed, so you can go in the opposite direction. Don’t
> polish the brass on the bandwagon.” – V. S. Ramachandran
> 
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