Michigan Engineering | University of Michigan Open-source software enables researchers to see materials in 3D while they’re still on the electron microscope.
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Visualizing nanoscale structures in real time
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Open source platform enables research on privacy-preserving machine learning
Virtual assortment of user devices provides a realistic training environment for distributed machine learning, protects privacy by learning where data lives.
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Machine learning begins to understand the human gut
The new computer model accurately predicts the behavior of millions of microbial communities from hundreds of experiments, an advance toward precision medicine.
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Emulating impossible “unipolar” laser pulses paves the way for processing quantum information
Quantum materials emit light as though it were only a positive pulse, rather than a positive-negative oscillation.
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Immune to hacks: Inoculating deep neural networks to thwart attacks
The adaptive immune system serves as a template for defending neural nets from confusion-sowing attacks.
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Open-source patient model tops industry standard
Tested without needing hospitals to share data, the method for developing the model could speed further improvements in medical prediction tools.
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Calculating the best shapes for things to come
A new algorithm efficiently determines optimal shapes for structures.
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Quantum tech: Semiconductor “flipped” to insulator above room temp
Discovery could pave the way to high speed, low-energy quantum computing.
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Keeping the world connected, without sacrificing privacy
Engineering assistant professor Raed Al Kontar outlines a new paradigm for connected devices.
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Michigan Engineering group creates model for layering COVID-19 defenses
The model can be used as a tool to inform decision-makers and individuals on relative risks and advantages associated with a layered defense.
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