Michigan Engineering | University of Michigan The CSE Climate Assessment Committee was formed at the College of Engineering to oversee an assessment of the Division’s culture and climate.
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Committee to shape assessment of CSE climate
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“Egg carton” quantum dot array could lead to ultralow power devices
By putting a twist on new “2D” semiconductors, researchers have demonstrated their potential for using single photons to transmit information.
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U-Michigan professor appointed to FDA medical device security post
A Q&A with Kevin Fu, who will help protect software that saves lives at the FDA’s Center for Devices and Radiological Health.
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Light-twisting ‘chiral’ nanotechnology could accelerate drug screening
A new approach makes liquid-crystal-like beacons out of harmful amyloid proteins present in diseases such as Type II diabetes.
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DARPA pitted 500+ hackers against this computer chip. The chip won.
University of Michigan’s MORPHEUS technology emerges unscathed from bug bounty effort.
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Model developed at U-M is adopted in the aerospace and automotive industries
When making and breaking a single prototype airplane component can cost a million dollars, a reliable computer model enables engineers to explore more designs.
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Bendable concrete and other CO2-infused cement mixes could dramatically cut global emissions
In The Conversation, experts break down what’s needed to make CO2 in concrete work on a wide scale to curb global emissions.
The post Bendable concrete and other CO2-infused cement mixes could dramatically cut global emissions appeared first on Engineering Research News.
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Wastewater treatment at one-third the size and cost
Systems featuring a ‘membrane-aerated biofilm reactor’ can also remove more nitrogen from treatment plant discharges.
The post Wastewater treatment at one-third the size and cost appeared first on Engineering Research News.
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Seven papers by CSE researchers presented at AAAI 2021
Twelve students and faculty co-authored papers spanning several key application areas for AI.
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Fairer AI for long-term equity
Prof. Mingyan Liu is a key member of a project to mitigate bias in Artificial Intelligence and Machine Learning systems for long-term equitable outcomes.