Category: EECS: Computer Science and Engineering
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New apps for visually impaired users provide virtual labels for controls and a way to explore images
With VizLens, users can touch buttons while their phones read out the labels, and Image Explorer provides a workaround for bad or missing alt text.
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Optimization could cut the carbon footprint of AI training by up to 75%
Deep learning models that power giants like TikTok and Amazon, as well as tools like ChatGPT, could save energy without new hardware or infrastructure.
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Record number of NSF CAREER awards received
Sustainable fuels, democratized programming tools, and Internet censorship countermeasures are a few of the projects’ broad potential impacts.
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Microelectronics researchers plan new initiative, enhanced collaboration to aid semiconductor industry
Leaders in microelectronics from across Michigan Engineering gathered to plan the formation of Michigan’s Advanced Vision for Education and Research in Integrated Circuits, with an eye to building industry partnerships and strengthening US leadership.
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Cyber vulnerability in networks used by spacecraft, aircraft and energy generation systems
A new attack discovered by the University of Michigan and NASA exploits a trusted network technology to create unexpected and potentially catastrophic behavior
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Not hidden but modern
U-M’s only Black American woman to graduate with a PhD in computer science and engineering is driving change within the University of Florida and scaling her influence with a podcast.
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Expert: 4 ways Americans can keep their vote secure and accurate
With election security experts waylaid by years debunking false claims of election fraud, little has improved since 2020.
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Senior hires stand out in an impressive year for faculty hiring
The cohort of 36 new tenured and tenure-track faculty includes 11 faculty hired at the rank of professor or associate professor.
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U-M celebrates Leinweber Computer Science and Information Building construction
Housing Computer Science and Engineering together with the School of Information will drive advances in information and computing through a convergence of disciplines.
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H.V. Jagadish named Edgar F. Codd Distinguished University Professor of EECS
Professor Jagadish is being recognized for his work as one of the nation’s most visible and influential researchers in the interdisciplinary field of data science
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Open source platform enables research on privacy-preserving machine learning
Virtual assortment of user devices provides a realistic training environment for distributed machine learning, protects privacy by learning where data lives.
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Open-source patient model tops industry standard
Tested without needing hospitals to share data, the method for developing the model could speed further improvements in medical prediction tools.