Michigan Engineering | University of Michigan The model is a practical method for robots to look for target items in complex, realistic environments.
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AI-powered interviewer provides guided reflection exercises during COVID-19 pandemic
The virtual interviewer uses therapeutic writing techniques to help users cope with difficult situations.
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Engineering course challenges students to create tech solutions for COVID-19
‘When caught in a situation such as this, creatively and positively helping others is always an excellent endeavor.’
The post Engineering course challenges students to create tech solutions for COVID-19 appeared first on Engineering Research News.
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Turning faces into thermostats
An autonomous HVAC system could provide more comfort with less energy.
The post Turning faces into thermostats appeared first on Michigan Engineering News.
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New method ensures complex programs are bug-free without testing
The system targets software that runs using concurrent execution, a widespread method for boosting performance, and proves whether a program will output what it’s supposed to.
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Tracking COVID-19 spread faster, and more accurately
A new application for an ongoing NSF project could bolster contract tracing efforts.
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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.
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New remote voting risks and solutions identified
The upcoming presidential election in the middle of a pandemic has many jurisdictions exploring new technologies. They’re not secure.
The post New remote voting risks and solutions identified appeared first on Michigan Engineering News.
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How rod-shaped particles might distract an out-of-control immune response
When white blood cells don’t know when to stop, an injection of rod-shaped particles may draw them away from a site of excessive inflammation.
The post How rod-shaped particles might distract an out-of-control immune response appeared first on Engineering Research News.
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New machine learning method improves testing of stem-like tumor cells for breast cancer research
To improve the prediction and identification of stem-like cancer cells, Prof. Euisik Yoon’s group developed a method that is 3.5 times faster than the standard approach.
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