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I really liked the Google talk http://www.youtube.com/watch?v=AyzOUbkUf3M and there are a bunch of advances in machine learning mixing technologies, like inductive learning & genetic programming. The Google video also shows some combinations of techniques to make it learn much faster.

Fortunately I can find videos and whitepapers on all those subjects, but seems the libraries are all very much in 'the past'. Maybe I don't know about some, but is there a library/toolbox like Weka which implement all modern & old algorithms and allow you to play on datasets mixing and matching them? Maybe I just couldn't find that, but Weka seems to be too primitive for that?

Disclaimer: I majored in AI a long time ago and I understand most of these concepts, but I have never touched it after I finished, so I'm not up to date/aware of everything, so sorry if I missed a famous tool or something.

If you enjoyed Geoff Hinton's talk you will probably find the theano 'deep learning' library to be of use. Still undergoing quite a lot of iteration but powerful and you get to run your stuff on the GPU for added fun. http://deeplearning.net/software/theano. Incidentally Hinton gave another google tech talk in 2010 http://www.youtube.com/watch?v=VdIURAu1-aU.

Thank you for that deeplearning link; I guess that's my missing link! I did Google for that many times and it's the first hit, so I have no clue how I missed that. Anyway, thanks!

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