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Machine learning begins to understand the human gut
  1. 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 Engineering Research News.

  2. 2022 IEEE APS R. W. P. King Award recognizes new theory in computational electromagnetics

    Patel and Michielssen developed the Wigner-Smith time delay matrix for electromagnetics.

  3. 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.

  4. Overcoming the efficiency cliff of red micro-LEDs for virtual/augmented reality

    Prof. Zetian Mi leads a team that created highly-efficient red micro LEDs suitable for augmented and virtual reality.

  5. Atkins chairs National Academies report on speeding discovery with automated research workflows

    Prof. Emeritus Daniel Atkins III chaired and Prof. Al Hero served on a National Academies committee that published a new report describing the impact of artificial intelligence and automated research workflow technologies in propelling research and scientific discovery.

  6. Designing large neural codes for the next generation of communication systems

    PhD candidate Mohammad Vahid Jamali won a Best Paper award at IEEE ICC for his work on Product AutoEncoders, which could help shape future generations of wireless networks, IoT, and autonomous systems.

  7. Thomas Ryan awarded SMART Scholarship to support his studies on defense technologies

    Ryan is an electrical engineering undergrad interested in military systems and devices.

  8. Graphene-hBN breakthrough to spur new LEDs, quantum computing

    Study uncovers first method for producing high-quality, wafer-scale, single-layer hexagonal boron nitride

  9. Teaching Machine Learning in ECE

    With new courses at the UG and graduate level, ECE is delivering state-of-the-art instruction in machine learning for students in ECE, and across the University

  10. New textbook provides hands-on guide for learning about chaotic dynamics and electronic circuits

    The book was co-authored by ECE Master’s student Wesley Joo-Chen Thio and Professor Emeritus Julien Sprott of U Wisconsin.