Michigan Engineering | University of Michigan Microsoft-supported project to coordinate site locations, supply distribution.
The post How big data could optimize COVID-19 testing appeared first on Engineering Research News.
How big data could optimize COVID-19 testing
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Faster than COVID: a computer model that predicts the disease’s next move
Predictive model could help care providers stay safe, anticipate patient needs.
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Catching nuclear smugglers: fast algorithm could enable cost-effective detectors at borders
The algorithm can pick out weak signals from nuclear weapons materials, hidden in ordinary radiation sources like fertilizer.
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Making wind power more predictable: A Q&A with Eunshin Byon
Predictive modeling could help power companies get more consistent output from renewables.
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Live public street cams are tracking social distancing
Virtually visit (what should be) desolate intersections around the world during COVID-19.
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Big data, small footprint
How changing the rules of computing could lighten Big Data’s impact on the internet.
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Post-silicon computing gets one step closer
Tunable semiconductor could lead to faster, more efficient computers.
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Beyond Moore’s Law: taking transistor arrays into the third dimension
Thin film transistors stacked on top of a state-of-the-art silicon chip could help shrink electronics while improving performance.
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A laser pointer could hack your voice-controlled virtual assistant
Researchers identified a vulnerability that allows a microphone to ‘unwittingly listen to light as if it were sound’
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How Let’s Encrypt doubled the percentage of secure websites in four years
A Q&A with J. Alex Halderman, who co-founded the nonprofit organization.