DARPA's deep learning program could advance AGI.

Below is a link to a DARPA request for a proposal for a program to perform deep learning. It wants a system that can automatically learn patterns of many different types from visual, auditory, and text with little human guidance, using automatically learned hierarchical invariant representations, of the general type described in the first few paragraphs of "THE SOFTWARE" section of the above post.

This is the type of project, which if the right people got the funding could really help advance AGI. It seems like Numenta, Poggio's group, or Hinton, could all submit compelling responses to this proposal. The request says it is interested in sponsoring multiple teams, and in disseminating much of what is learned to the public to advance the computing arts.

Start reading at page four of http://www.darpa.mil/ipto/solicit/baa/BAA-09-40_PIP.pdf