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.
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.
In an op-ed, Brian Denton shares his perspective on the damages done by placing restrictions on Chinese students in the U.S.
The post Trump’s restrictions on Chinese students stifle American companies, universities and innovation appeared first on Michigan Engineering News.
The new tool could enable the design of more efficient sustainable energy and chemistry technologies.
The post First measurement of electron energy distributions appeared first on Michigan Engineering News.
As COVID-19 drives a deeper digital skills gap, Michigan Engineering enables students.
The post Nexus at Michigan Engineering prepares to launch new Cybersecurity professional certificate program appeared first on Michigan Engineering News.
‘Noncritical’ in-person research begins ramping up, with public-health protocols.
The post Lights in the labs – and eyes – of researchers coming back to work appeared first on Michigan Engineering News.
The web tools will help state officials identify potential hotspots as they reopen Michigan to business.
As COVID-19 looks more like a disease of the immune system, a Michigan engineer is working with doctors to look at how immune responses differ between mild and severe cases.
The post Engineering immunity: Profiling COVID-19 immune responses and developing a vaccine appeared first on Engineering Research News.
The symposium highlighted new developments in computer architecture, and included a session on how the center’s research can contribute to limiting the impact of pandemics.
The projects impact voting systems, physical sensors, integrated circuit fabrication, and multiple microarchitectural side-channel vulnerabilities.
The project, which received a best paper award, demonstrated that a certain bias in humans who train intelligent agents significantly reduced the effectiveness of the training.