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Jim Lynch

As seen in: Michigan News, The Hill, The University Record, University of Michigan, EurekAlert!, Phys.org, Medical Xpress, Nextgov/FCW, Gainesville Sun, Newswise and
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Articles

Self-driving cars: Near-miss driving data can expedite AV algorithm training

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By Jim Lynch, Gaby Clark Verified, Andrew Zinin Verified
| Tech Xplore Verified
Data from simulated and real near-miss traffic accidents, combined with data from crashes, can boost autonomous vehicle (AV) algorithm training—improving safety by up to 90%. Credit: Calvin Tuttle, Center for Connected and Automated Transportation The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates near-miss incidents with outright failures, according to new research led by University of Michigan Engineering.
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U-Michigan offers new online master’s program in data and decision analytics for engineering

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By Jim Lynch
| University of Michigan
Numbers don’t lie, but there are layers to the answers they provide. A new master’s program in data and decision analytics, offered online and in person by the University of Michigan’s Industrial and Operations Engineering (IOE), is designed to help unlock those layers for tomorrow’s engineering and business leaders. The ability to dive deep beneath the surface with data leads to informed decision-making for better outcomes—a valued skillset in any area of the private sector.
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Robotics, advanced manufacturing and national security: Q&A with Chinedum Okwudire

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By Jim Lynch
| University of Michigan
Chinedum Okwudire, a University of Michigan professor of mechanical engineering and director of the University of Michigan Advanced Manufacturing Institute (UMAMI).
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