The new Super-Turing machine will not only be flexible and adaptable but economical. This means that when presented with a visual problem, for example, it will act more like our human brains and choose salient features in the environment on which to focus, rather than using its power to visually sample the entire scene as a camera does. This economy of effort, using only as much attention as needed, is another hallmark of high artificial intelligence, Siegelmann says.by (http://www.kurzweilai.net/super-turing-machine-learns-and-evolves)
Monday, April 09, 2012
‘Super-Turing’ machine learns and evolves
Subscribe to:
Post Comments (Atom)
2 comments:
Hypercomputation: Hype or
Computation?
Super-Turing Computation:
A Case Study Analysis, Keith Douglas, Carnegie Mellon University, 2003
Post a Comment