Artificial synapse bridges the gap to brainier computers

The human brain is nature’s most powerful processor, so it’s not surprising that developing computers that mimic it has been a long-term goal. Neural networks, the artificial intelligence systems that learn in a very human-like way, are the closest models we have, and now Stanford scientists have developed an organic artificial synapse, inching us closer to making computers more efficient learners.

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Researchers create robot that can learn, think and act by itself

[youtube]http://www.youtube.com/watch?v=OC2TTslf_YM&hd=1[/youtube]

At the Tokyo Institute of Technology researchers with the Hasegawa Group have created a robot that is capable of applying learned concepts to perform new tasks. The Self-Organizing Incremental Neural Network (SOINN) uses a type of self-replicating neural technology.  The research team has released a video demonstrating the robot’s ability to understand it’s environment and to carry out instructions that it previously didn’t know how to do.

 

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