Michigan Engineering | University of Michigan Kim takes an interdisciplinary approach to tackle challenges in heterogeneous classes of energy-efficient and versatile communication systems.
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‘Green methane’ from artificial photosynthesis could recycle CO2
A catalyst on a solar panel can make methane, the main component of natural gas, with carbon dioxide, water and sunlight.
The post ‘Green methane’ from artificial photosynthesis could recycle CO2 appeared first on Michigan Engineering News.
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Not enough voters detecting ballot errors and potential hacks, study finds
Researchers carried out the first study on voter behavior with electronic assistive devices, found 93% missed incorrect ballots.
The post Not enough voters detecting ballot errors and potential hacks, study finds appeared first on Michigan Engineering News.
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Three faculty earn MIDAS grants to broaden the frontiers of data science
This round of funding strongly encourages pioneering work with the potential for major expansion.
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Post-silicon computing gets one step closer
Tunable semiconductor could lead to faster, more efficient computers.
The post Post-silicon computing gets one step closer appeared first on Michigan Engineering News.
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Parker Solar Probe: ‘We’re missing something fundamental about the sun’
First data holds clues to a decades-old mystery, and major implications for space weather prediction
The post Parker Solar Probe: ‘We’re missing something fundamental about the sun’ appeared first on Michigan Engineering News.
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Universities’ crucial role in our spacefaring future
To ensure that our species endures, we must advance space-based technologies and break our interdisciplinary boundaries.
The post Universities’ crucial role in our spacefaring future appeared first on Michigan Engineering News.
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Enabling large-scale testing of cancer drugs with machine learning
Prof. Euisik Yoon and his team developed a new machine learning tool that enables large-scale testing of cancer drug effectiveness with microfluidics.
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CSE faculty funded for three precision health projects
The CSE faculty include Prof. David Fouhey, Prof. Danai Koutra, Prof. Rada Mihalcea, and Research Scientist Veronica Perez-Rosas.
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Best Student Paper Award for work on faster network classification for machine learning
Comparing graphs the team’s tool is up to an order of magnitude faster than competitive baselines.
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