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  1. ‘Green methane’ from artificial photosynthesis could recycle CO2

    A catalyst on a solar panel can make methane, the main component of natural gas, with carbon dioxide, water and sunlight.

  2. Not enough voters detecting ballot errors and potential hacks, study finds

    Researchers carried out the first study on voter behavior with electronic assistive devices, found 93% missed incorrect ballots.

    The post Not enough voters detecting ballot errors and potential hacks, study finds appeared first on Engineering Research News.

  3. Three faculty earn MIDAS grants to broaden the frontiers of data science

    This round of funding strongly encourages pioneering work with the potential for major expansion.

  4. Post-silicon computing gets one step closer

    Tunable semiconductor could lead to faster, more efficient computers.

    The post Post-silicon computing gets one step closer appeared first on Engineering Research News.

  5. Parker Solar Probe: ‘We’re missing something fundamental about the sun’

    First data holds clues to a decades-old mystery, and major implications for space weather prediction

    The post Parker Solar Probe: ‘We’re missing something fundamental about the sun’ appeared first on Engineering Research News.

  6. Universities’ crucial role in our spacefaring future

    To ensure that our species endures, we must advance space-based technologies and break our interdisciplinary boundaries.

    The post Universities’ crucial role in our spacefaring future appeared first on Engineering Research News.

  7. Enabling large-scale testing of cancer drugs with machine learning

    Prof. Euisik Yoon and his team developed a new machine learning tool that enables large-scale testing of cancer drug effectiveness with microfluidics.

  8. CSE faculty funded for three precision health projects

    The CSE faculty include Prof. David Fouhey, Prof. Danai Koutra, Prof. Rada Mihalcea, and Research Scientist Veronica Perez-Rosas.

  9. Best Student Paper Award for work on faster network classification for machine learning

    Comparing graphs the team’s tool is up to an order of magnitude faster than competitive baselines.

  10. How an AI solution can design new tuberculosis drug regimens

    A new method could replace trial and error drug development.

    The post How an AI solution can design new tuberculosis drug regimens appeared first on Engineering Research News.