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Roadmap for teachers: U-M free online learning platform paves the way
  1. Roadmap for teachers: U-M free online learning platform paves the way

    K-5 teachers and students throughout Michigan are building thriving learning communities online by using free deeply-digital, standards-aligned curricula and platform developed by the U-M Center for Digital Curricula.

  2. Open-source software helps youth with disabilities develop scheduling independence

    The system can add more flexibility to task management apps to help learning users make informed decisions about their time.

  3. Computer scientists employ AI to help address COVID-19 challenges

    Five multidisciplinary research teams are working on projects to assist with the coronavirus outbreak and to help find solutions to pressing problems.

  4. Researchers to use brain scans to understand gender bias in software development

    The team will use fMRI to identify some of the underlying processes that occur when a code reviewer weighs in on a piece of software and its author.

  5. Big data, small footprint

    How changing the rules of computing could lighten Big Data’s impact on the internet.

    The post Big data, small footprint appeared first on Engineering Research News.

  6. COVE: a tool for advancing progress in computer vision

    Centralizing available data in the intelligent systems community through a COmputer Vision Exchange for Data, Annotations and Tools, called COVE.

  7. Shadows in the Dark Web

    Secrets lurk in the dark web, the 95 percent of the internet that most of us can’t see. One U-M professor is bringing some of those secrets to light, making the digital and the real world a little safer.

  8. Google, U-M to build digital tools for Flint water crisis

    CSE students and faculty will collaborate as a part of a larger team to help respond to the crisis.

  9. Walter Lasecki and collaborators win Best Paper at W4A

    The paper explores how automated speech recognition and crowd-sourced human correction and generation of transcripts can be traded off to improve accuracy and latency.

  10. Michael J. Cafarella selected for Sloan Research Fellowship

    He has built software systems for information extraction, database integration, and feature engineering and applied these to problems in the social sciences.