Tag: Artificial Intelligence
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Detecting Huntington’s disease with an algorithm that analyzes speech
New, preliminary research found automated speech test accurately diagnoses Huntington’s disease 81 percent of the time and tracks the disease’s progression.
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Fake news detector algorithm works better than a human
System sniffs out fakes up to 76 percent of the time.
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Memory-processing unit (MPU) could bring memristors to the masses
AI, weather forecasting and data science would all benefit from computers that store and process data in the same place. Memristors could be up to the task.
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Chat tool simplifies tricky online privacy policies
Register for an account on just about any website or download an app to your smartphone and you likely will encounter that pesky, “I certify that I’ve read and understand the privacy policy,” check box. “Typically drafted by lawyers, these documents tell you, ‘This the information we’re collecting, this is how we’re processing it, this…
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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?