Brainlike Computers, Learning From Experience

Via Instapundit and NYTimes.com:

The first commercial version of the new kind of computer chip is scheduled to be released in 2014. Not only can it automate tasks that now require painstaking programming — for example, moving a robot’s arm smoothly and efficiently — but it can also sidestep and even tolerate errors, potentially making the term “computer crash” obsolete.

The new computing approach, already in use by some large technology companies, is based on the biological nervous system, specifically on how neurons react to stimuli and connect with other neurons to interpret information. It allows computers to absorb new information while carrying out a task, and adjust what they do based on the changing signals.

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Points:
  • “…the computing style can clear the way for robots that can safely walk and drive in the physical world.”
  • “…being driven by the explosion of scientific knowledge about the brain.”
  • “The new processors consist of electronic components that can be connected by wires that mimic biological synapses.”
  • “One great advantage of the new approach is its ability to tolerate glitches.”
  • “The largest class on campus this fall at Stanford was a graduate level machine-learning course covering both statistical and biological approaches, taught by the computer scientist Andrew Ng.”