Category: Artificial Intelligence
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New quick-learning neural network powered by memristors
U-M researchers created a reservoir computing system that reduces training time and improves capacity of similar neural networks.
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The beanbag test
It’s one thing for a robot to sort through a pile of rigid objects like blocks, but what about softer stuff?
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Technology innovation for the most pressing problems of society
S. Shankar Sastry, Dean and Roy W. Carlson Professor of Engineering at the University of California at Berkeley delivers the The 2017 Michael Korybalski Distinguished Lecture.
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Swim with the robots, U-M on the Great Lakes
With a customized Iver 3 underwater drone, the Deep Robotic Optical Perception (DROP) Lab have a new set of underwater eyes that provide a window into the health of the world’s lakes and oceans.
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“Learning database” speeds queries from hours to seconds
Verdict can make databases deliver answers more than 200 times faster while maintaining 99 percent accuracy.
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Wellman participates in AI doomsday prevention workshop
Michael Wellman, a U-M Engineering professor, recently took part in a workshop to anticipate and prevent possible adverse outcomes of artificial intelligence.
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Designing intelligence
Can we create machines who learn like we do?