by USC, PhysOrg
Five years ago, Laurent Itti of the University of Southern California presented groundbreaking research on how humans see the world. Now, he is heading a $16-million Defense Advanced Research Project Agency effort to build machines that see the world in the way he discovered humans see. But to do this, Itti and fellow scientists from eight other institutions first plan to learn more about how humans see, and then immediately use this more detailed knowledge to build new machines. The “neuromorphic visual system for intelligent unmanned sensors” project builds on a previous effort called Neovision, which attempted the same goal, but relied on existing software systems that were not completely compatible with the neural systems that Itti had discovered were crucial.
http://www.physorg.com/news204202356.html
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