Category: Data & Computing
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Nextgen computing: Hard-to-move quasiparticles glide up pyramid edges
Computing with a combination of light and chargeless excitons could beat heat losses and more, but excitons need new modes of transport.
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$18M to advance materials research for quantum computing, sustainable plastics and more
New center builds a campus-wide ecosystem for designing and manufacturing materials of the future at U-M while training a more representative workforce.
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Optimization could cut the carbon footprint of AI training by up to 75%
Deep learning models that power giants like TikTok and Amazon, as well as tools like ChatGPT, could save energy without new hardware or infrastructure.
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Scalable method to manufacture thin film transistors achieves ultra-clean interface for high performance, low-voltage device operation
Led by Prof. Becky Peterson, the research focuses on a category of materials important for low power logic operations, high pixel density screens, touch screens, and haptic displays.
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Six ECE faculty will help shape the future of semiconductors as part of the JUMP 2.0 program
Elaheh Ahmadi, David Blaauw, Michael Flynn, Hun-Seok Kim, Hessam Mahdavifar, and Zhengya Zhang bring their expertise and creativity to this nationwide undertaking in the area of semiconductors and information & communication technologies.
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Open-source hardware: a growing movement to democratize IC design
Dr. Mehdi Saligane, a leader in the open-source chip design community, was among the first researchers to fabricate a successful chip as part of Google’s multi-project wafer program.
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Duraisamy to lead Michigan Institute for Computational Discovery and Engineering
“I am looking forward to working with the incredible talent we have at U-M to expand the frontiers of computational science, and in more firmly establishing the role of computing in solving the grand challenge problems facing humanity.”
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Seeing electron movement at fastest speed ever could help unlock next-level quantum computing
New technique could enable processing speeds a million to a billion times faster than today’s computers and spur progress in many-body physics.
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Visualizing nanoscale structures in real time
Open-source software enables researchers to see materials in 3D while they’re still on the electron microscope.
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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.