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.

 

Continue reading… “Researchers create robot that can learn, think and act by itself”

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