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Optimization could cut the carbon footprint of AI training by up to 75%
  1. 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.

    The post Optimization could cut the carbon footprint of AI training by up to 75% appeared first on Michigan Engineering News.

  2. 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.

    The post Scalable method to manufacture thin film transistors achieves ultra-clean interface for high performance, low-voltage device operation appeared first on Michigan Engineering News.

  3. 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.

  4. 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.

    The post Open-source hardware: a growing movement to democratize IC design appeared first on Michigan Engineering News.

  5. 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.”

    The post Duraisamy to lead Michigan Institute for Computational Discovery and Engineering appeared first on Michigan Engineering News.

  6. 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.

    The post Seeing electron movement at fastest speed ever could help unlock next-level quantum computing appeared first on Michigan Engineering News.

  7. Visualizing nanoscale structures in real time

    Open-source software enables researchers to see materials in 3D while they’re still on the electron microscope.

    The post Visualizing nanoscale structures in real time appeared first on Michigan Engineering News.

  8. 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.

    The post Open source platform enables research on privacy-preserving machine learning appeared first on Michigan Engineering News.

  9. 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.

    The post Machine learning begins to understand the human gut appeared first on Michigan Engineering News.

  10. 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.

    The post Emulating impossible “unipolar” laser pulses paves the way for processing quantum information appeared first on Michigan Engineering News.