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$1M NSF grant supports new system for gathering, structuring data with ease
  1. $1M NSF grant supports new system for gathering, structuring data with ease

    The team’s new tool will combine of software and data to make gathering structured data dramatically easier.

  2. Remote attack on temperature sensors threatens safety in incubators and industry

    The researchers demonstrated that an adversary could remotely manipulate the temperature sensor measurements without tampering with the targeted system or triggering automatic temperature alarms.

  3. New attack on autonomous vehicle sensors creates fake obstacles

    Up to this point, no attacks had been discovered targeting a car’s LiDAR system—but a major new finding from researchers at the University of Michigan has demonstrated what that might look like.

  4. Taking machine-learning models in health care from concept to bedside

    The authors provide an overview of common challenges to implementing ML in a health-care setting, and describe the necessity of breaking down the silos in ML.

  5. Creating more efficient data centers for AI

    Tang’s project will redesign data center systems to support large-scale use of hardware accelerators to meet future computational demand.

  6. New browser strategy game has players tackle real-life bat catastrophe

    As a fungal infection ravages bat populations, the new game hopes to promote public awareness of ongoing research to combat the issue.

  7. Year of growth, experiments for May Mobility

    May Mobility intends to gradually acclimate the public to the experience of autonomous driving.

  8. DARPA Award for more responsive AI that combines human and machine

    The goal of Lasecki’s proposal is to create methods for making AI systems more robust and flexible.

  9. “Mind reading” study looks inside coders’ brains

    Using real-time fMRI readings, researchers linked spatial reasoning with CS problem solving.

  10. Automated tool optimizes complex programs better than humans

    Erie provided database repairs that were previously performed exclusively by human programmers.