Michigan Engineering | University of Michigan Satellites give new insights on the Great Pacific Garbage Patch, plus sources and flows of ocean microplastic.
The post Tracking ocean microplastics from space appeared first on Engineering Research News.
Tracking ocean microplastics from space
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Dawn of nitride ferroelectric semiconductors for next-generation electronics
The ability to precisely tune electrical polarization switching through molecular beam epitaxy is a gamechanger
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With Slide, student entrepreneurs aim to make contact sharing frictionless
Built by students and funded by student VCs, the venture marks a new model for launching ideas into ventures.
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Profiles in ECE: Rucha Apte (MS ECE 2021)
From the internships that inspired her interest in signal & image processing and machine learning to late night study sessions at the Duderstadt to her background in classical dance, Master’s student Rucha Apte shares her journey with us.
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Helping robots learn what they can and can’t do in new situations
What should a robot do when it cannot trust the model it was trained on?
The post Helping robots learn what they can and can’t do in new situations appeared first on Michigan Engineering News.
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Three teams of graduate students awarded prizes for their final projects in Image Processing (EECS 556)
KLA sponsored prizes for three outstanding projects focused on improving image processing for neurosurgery and satellite applications and MRI reconstruction techniques.
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ECE Lab Kit team recognized by the College of Engineering with the Team Staff Excellence Award
When the pandemic shut down in-person instruction, this six-member team created and delivered individual lab kits to 1,200 students around the world so hands-on lab experience could continue.
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3D motion tracking system could streamline vision for autonomous tech
Transparent optical sensor arrays combine with a specialized neural network in new University of Michigan prototype
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Prof. Pei Zhang solemnly swears that he’s up to some good
In a project he calls the “Marauder’s Map,” Prof. Zhang uses machine learning-based data models, physics models, and heuristic models to turn physical structures into sensing devices.
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Artificial photosynthesis devices that improve themselves with use
“Our discovery is a real game-changer. I’ve never seen such stability.”