Michigan Engineering | University of Michigan Researchers have demonstrated the ability to “unlearn” sensitive identifying data from audio used to train machine learning models.
Emotion recognition has a privacy problem – here’s how to fix it
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Russel Lecture: Fighting climate change with organic electronics
The researcher-entrepreneur who helped bring OLED displays to the masses envisions a future of efficient lighting and next-gen solar power.
The post Russel Lecture: Fighting climate change with organic electronics appeared first on Michigan Engineering News.
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Generating realistic stock market data for deeper financial research
A team at Michigan proposed an approach to generating realistic and high-fidelity stock market data to enable broader study of financial markets.
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Building CubeSats to test electrodynamic tethering in space with MiTEE
Mi-TEE (Miniature Tether Electrodynamics Experiment) is a University of Engineering project directed by Prof. Brian Gilchrist that aims to test the tethering technology in space.
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CSE researchers present 9 papers at leading AI conference
The students and faculty submitted projects spanning several key application areas for AI.
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Leung Tsang elected to the National Academy of Engineering
A professor of electrical engineering and computer science is awarded one of engineering’s top honors.
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Automotive research team recognized for research excellence
The ARC works to solve a broad set of issues pertaining to the modeling and simulation of ground vehicle systems.
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Researchers gain control over internal structure of self-assembled composite materials
Researchers new templating technique instills greater order and gives rise to new 3D structures in a special class of high-performance materials, called eutectics.
The post Researchers gain control over internal structure of self-assembled composite materials appeared first on Engineering Research News.
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$1M grant to develop U-M high-capacity research network
The team will develop a secure, data-intensive network solution to effectively transport extremely high volumes of research data on and off campus.
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How an age-old process could lead to new materials and even invisibility
A Q&A with Ashwin Shahani, U-M assistant professor of materials science and engineering
The post How an age-old process could lead to new materials and even invisibility appeared first on Engineering Research News.