Global Technology – August 2015

Recently, at the International Conference on Robotics and Automation in Seattle, a team of researchers from the University of California at Berkeley demonstrated algorithms that enable robots to learn motor tasks through trial and error using a process that more closely approximates the way humans learn. This represents a major milestone in the field of artificial intelligence.

The team had a robot complete various tasks, like putting a clothes hanger on a rack, assembling a toy plane, screwing a cap on a water bottle, and more, without .....

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