Michigan Engineering | University of Michigan A catalyst on a solar panel can make methane, the main component of natural gas, with carbon dioxide, water and sunlight.
‘Green methane’ from artificial photosynthesis could recycle CO2
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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 Engineering Research 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 Engineering Research 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 Engineering Research 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 Engineering Research 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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How an AI solution can design new tuberculosis drug regimens
A new method could replace trial and error drug development.
The post How an AI solution can design new tuberculosis drug regimens appeared first on Engineering Research News.