A 2017 study reported that a code author’s gender had a significant impact on the code reviewer’s approval or rejection rate. In fact, women’s contributions were rejected more often when their gender was identifiable to the reviewer, and accepted more often when their work was anonymous. An interdisciplinary team of U-M researchers will test these observations and identify… Read More »
Most programs in use today have to be completely rewritten at a very low level to reap the benefits of hardware acceleration. This system demonstrates how to make that translation automatic. A new technique developed by researchers at U-M could enable broader adoption of post-Moore’s Law computing components through automatic code translation. The system, called AutomataSynth, allows software… Read More »
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 »
As the novel coronavirus (COVID-19) advances around the world, a growing number of researchers are using computational models to estimate this spread. Among the first to publish on the subject is a team of Hong Kong- and China-based researchers that includes University of Michigan Institute for Data Science (MIDAS) research fellow Qianying Lin. For the past several weeks,… Read More »
In the next decade, the emergence of massively connected networks of billions of devices will lead to an unprecedented increase in mobile data traffic. Hessam Mahdavifar, assistant professor of electrical engineering and computer science, has received an NSF CAREER award to support research on solutions for reliable communications across future wireless networks. This research aims to develop enabling… Read More »
Artificial intelligence has the potential to improve efficiencies and precision in sleep medicine, resulting in more patient-centered care and better outcomes, according to a new position statement from the American Academy of Sleep Medicine. Because of the vast amounts of data collected by sleep centers, AI and machine learning could advance sleep care, resulting in more accurate diagnoses,… Read More »
Researchers at U-M have discovered the widespread use of popular, commercial network filtering technologies for purposes of censorship in as many as 103 countries around the world. With a framework they call FilterMap, the researchers took advantage of several tools designed to detect censorship in real time to call attention to the proliferation of this technology for these… Read More »
With devices listening everywhere you go, privacy concerns are endemic to advancing technology. For example, a virtual assistant that can learn to adapt to a user’s mood creates more useful, human-like interactions. But what if the audio powering these insights stores the user’s gender and demographic information on company servers – leaving the user open to identification by… Read More »
With the rapid rise in drug resistance in many pathogens, new antibiotics are desperately needed. Yet few new antibiotics have entered the market of late, and even these are just minor variants of old antibiotics. While the prospects look bleak, a recent article by Sriram Chandrasekaran, assistant professor of biomedical engineering, explores how researchers hunting for new drugs… Read More »
Two computer science and engineering professors were recently recognized for their outstanding work: Jenna Wiens, co-director of University of Michigan Precision Health, was selected for a 2020 Sloan Research Fellowship by the Alfred P. Sloan Foundation for her work harnessing patient data to improve healthcare outcomes. Wiens’ primary research is in the development of data-driven predictive models needed… Read More »
What does it take to connect the #1 public research university in the U.S. to the rest of the world? The answer is a powerful network, that allows faculty, students, staff, and researchers on the U-M Ann Arbor campus to reach and share enormous amounts of information with their partners around the world. The data network is the… Read More »
Save the dates! The Michigan Institute for Computational Discovery and Engineering (MICDE) will host its 2020 Annual Symposium on April 9-10, 2020 at the Rackham Building. External experts will talk about how they are driving new fronts in computing. The symposium will showcase some of the game-changing research supported by the MICDE Catalyst Grants program. Participants will also… Read More »
Maria Cotera, associate professor of American Culture and of women’s studies, is one of the founders of the Chicana por mi Raza Digital Memory Project. Launched in 2009, the project aims to preserve records of self-identified Chicana feminists by conducting interviews and digitizing artifacts in their personal collections. The repository has collected about 150 oral history interviews and… Read More »
Society’s ever-increasing use of artificial intelligence and other emerging computing technologies has led many in the field to talk about the need for ethics, standards, and policies to help guide their use. Among the concerns over the increasing use of AI and data-based algorithms are gender and racial stereotyping, and an overall lack of accountability and digital justice.… Read More »
The U-M Library has more than 300 separate digital collections that contain over one million items. A significant portion are available without restriction to anyone to discover and engage with. While there has long been a way that users can search across these text and image collections, or within a particular collection, until recently this was not available through the… Read More »
Are you (or one of your colleagues) working on an instructional, research, or outreach project that would benefit from two intense days of collaboration with U-M Library specialists? Are you available to join us on May 7-8, 2020? If your answer is yes and yes, we invite you to apply to U-M Library’s 2020 Scholar Sprints. Scholar Sprints offer… Read More »
Precision Health (PH) at U-M takes a multidisciplinary approach to prevention, implementation, and community health and is a key HITS collaborator. PH studies are tracked within LabVantage, a lab information management system that supports study protocols and designs, follows a chain of custody process for samples, and creates an audit trail. PH studies comprise 70,000 patients. Using data… Read More »
One hundred gigabits per second (Gbps) is the new standard for network speeds when transferring files from the Great Lakes high-performance computing cluster to the Turbo Research Storage service. Why is this significant? Usually network speeds for file transfers are 1Gbps. That’s perfectly fine for most people’s needs. But reaching speeds of 100Gbps represents a new, higher level… Read More »
Advanced Research Computing — Technology Services (ARC-TS) provides advanced, high-performance computing resources to U-M researchers. They recently announced the extension of the free pilot periods for two of its most recently added services: the Great Lakes cluster and the HIPAA-aligned Armis2 cluster. The free pilot for both services has been extended to January 5, 2020. Billing begins on… Read More »
Many cities and residents in Michigan have already begun to feel the effects of climate change. Such changes can damage the environment and public health. Trish Koman, a research investigator for the School of Public Health, and her colleagues have developed the Michigan Environmental Project, an online mapping tool designed to track climate change impacts in Michigan. The new… Read More »