Mapping the Brain to Build Better Machines

Posted on April 6th, 2016

Quanta

An ambitious new program, funded by the federal government’s intelligence arm, aims to bring artificial intelligence more in line with our own mental powers. Three teams composed of neuroscientists and computer scientists will attempt to figure out how the brain performs these feats of visual identification, then make machines that do the same. “Today’s machine learning fails where humans excel,” said Jacob Vogelstein, who heads the program at the Intelligence Advanced Research Projects Activity (IARPA).

 

US Bets $100 Million on Machines That Think More Like Humans

Posted on March 13th, 2016

SingularityHUB

Led by IARPA and a part of the larger BRAIN Initiative, the MICrONS (Machine Intelligence from Cortical Networks) project seeks to revolutionize machine learning by reverse engineering algorithms of the mammalian cortex.