Tag Archives: machine learning

New online education program brings high-demand topics in technology to the world

By | April 2, 2021
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african american girl coding on computer

The Continuum program, launched in Fall 2020, offers continuing online education for everyone from high schoolers to engineers already established in their careers taught by faculty in Electrical and Computer Engineering (ECE) at the University of Michigan. Courses range from introductory classes designed for high school students to specialized classes for those already established in their careers to keep up-to-date… Read More »

UM-Dearborn is launching the first artificial intelligence master’s program in the state

By | March 31, 2021
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The program is hoping to address a major need for qualified AI systems developers. Artificial intelligence is so rapidly transforming a huge array of industries that companies are facing challenges filling positions requiring advanced knowledge of AI systems. One of the reasons for the shortage of workers may simply be a shortage of AI graduate programs. While many… Read More »

Algorithm & Blues: Machine-aided personnel decisions aim for fairness, risk side effects

By | December 3, 2020
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womans face superimposed over screen of computer code

When it comes to making human resources decisions, can humans be fair? What about relying on algorithms to make decisions instead? The answer to the first question is not always, which leads some business leaders to pursue the second. Yet, it turns out decisions made by machines are perceived as even less fair than those made by humans.… Read More »

Using machine learning to study wildlife refuge wetlands habitats

By | October 9, 2020
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A U-M School for Environment and Sustainability (SEAS) student team is working with the Shiawassee National Wildlife Refuge to study how fish move through different wetland habitats. Their work is primarily dependent on being in the field, but in March the pandemic delayed fieldwork. In June, the team of SEAS master students was allowed to begin socially distant… Read More »

CoE researcher uses machine learning to improve brain imaging

By | September 2, 2020
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(Portrait of Melissa Haskell smiling.)

Melissa Haskell, an ECE postdoctoral researcher, was awarded the Ruth L. Kirschstein Postdoctoral Individual National Research Service Award from the National Institutes of Health for her work using machine learning to improve functional magnetic resonance imaging (fMRI). Many factors, including movement, can affect the quality of an fMRI, which is used to measure and study brain activity. Haskell works to… Read More »

Student’s COVID-19 data model reaches CDC

By | August 31, 2020
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Sabrina Corsetti

U-M senior Sabrina Corsetti‘s efforts to model the pandemic’s spread using a machine learning algorithm has now been included in those being aggregated for the CDC’s weekly projections. Corsetti had her previous research halted when U-M suspended in-person classes and labs back in March. Thomas Schwarz, one of Corsetti’s research professors, happened to be modeling the pandemic’s data… Read More »

Enabling fairer data clusters for machine learning

By | August 20, 2020
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(Photo of a very large, dark room filled with glowing computers.)

Research published recently by CSE investigators can make training machine learning (ML) models fairer and faster. With a tool called AlloX, Mosharaf Chowdhury and a team from Stony Brook University developed a new way to fairly schedule high volumes of ML jobs in data centers that make use of multiple different types of computing hardware, like CPUs, GPUs,… Read More »

Faster than COVID-19: computer model predicts disease’s next move

By | May 15, 2020
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hands holding tables with health info & graphs

M-CURES, a computational model now in development, could help hospitals anticipate fast-changing patient needs while keeping care providers safe. Developed by a team of researchers at the College of Engineering, Precision Health, and Michigan Medicine, the model uses a machine learning algorithm to crunch more than 200 health and demographic variables of individual COVID-19 patients. The model then… Read More »

Using machine learning to detect disease before symptoms manifest

By | March 27, 2020
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crowd of tiny people around several viruses

Alfred Hero, professor of electrical engineering and computer science, has been working on predicting health and disease of people exposed to infectious viral pathogens since early 2007. His research uses machine learning to help discover genes in whole blood that can be used to detect early signs of acute respiratory viral infection (ARVI), as well as improve the… Read More »

Could this new technology finally end the battle over the thermostat?

By | October 24, 2019
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image from thermal camera of people's faces

UM-Dearborn Assistant Professor of Computer and Information Science Mohamed Abouelenien is exploring whether machine learning can help create a customized, responsive climate control system that would automatically detect a person’s level of “thermal comfort” and then make continuous adjustments to their environment. Abouelenien and his collaborator, UM-Flint Associate Professor of Mechanical Engineering Mihai Burzo, used a thermal camera… Read More »