In this [1.5 hour] video by UCtelevision, Jeff Hawkins - an inventor, engineer, neuroscientist, author and entrepreneur - reviews several efforts to build intelligent machines and posits that machine intelligence is only possible by first understanding how the brain works and then building systems that work on the same principles. He describes neocortical modeling of machine-generated data, and concludes with predictions on how machine intelligence will unfold in the future.
SEE ALSO: The Chinese Room Argument [philosophical argument against the possibility of true artificial intelligence] (Stanford Encyclopedia of Philosophy)
MIT Technology Review: The Year in Computing - How 2012 Brought Better Artificial Intelligence And Much More
Artificial Intelligence: AI knows when people are tweeting about you (forbes.com)
Artificial Intelligence:AI machine named 'Angelina' creates computer games (arstechnica.com)
IBM researchers have used the world's most powerful supercomputer to simulate a virtual brain comparable in complexity to that of a human.
SEE THIS ARTICLE IN GIZMAG.COM (IBM Supercomputer Used to...)
Included in the gizmag.com article is the following video from IBM:
Chris Eliasmith, author of soon to be released book 'How to Build a Brain', and colleagues from the University of Waterloo in Canada have built Spaun (Semantic Pointer Architecture Unified Network) -- a complex computer model simulation of a functioning brain.
SEE THE ARTICLE IN (popsci.com)
Included in the popsci.com article is the following video about Spaun:
SEE ALSO: Scientists See Advances in Deep Learning AI (nytimes.com)
SEE ALSO: Cambridge to open 'Terminator centre' (dailymail.co.uk)
SEE ALSO: How to Code a Life (buzzfeed.com)
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