Category: Electrical Engineering and Computer Science
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Mark Daskin and Mark Guzdial named AAAS Fellows
Fellowship in the AAAS is one of the highest honors accorded to US researchers.
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AI symposium: Michigan Engineering speakers share how they use AI in research
In addition to making predictions and scientific discoveries, engineers at the MIDAS symposium discussed improving AI’s interpretability and preventing misuse.
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U-M awarded up to $7.5M to bring heat-tolerant semiconductors from lab to fab
Open-source effort supports durable silicon carbide circuits that can operate at record high temperatures.
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Digital-learning platform improves reading growth by 9 percentile points, bridging learning gaps
Implementing a conventional reading curriculum as digital, map-like lessons with voice recording features made it engaging for students of all reading levels.
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Magnetic switch traps quantum information carriers in one dimension
Innovations in quantum sensing and computing could follow the discovery of how chromium sulfide bromide responds to magnetic fields.
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Two Michigan Engineering researchers named 2025 Sloan Research Fellows
Early-career computer engineers honored for their work on graph network algorithms and machine perception.
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Bridging gaps in rural health care with AI-powered mobile clinics
General practitioners with AI help could make diagnoses, run and interpret tests, and perform procedures like specialists.
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Boosting AI model size and training speed with lightwave-connected chips
AI growth is capped by data transfer rates between computing chips, but transferring data with light could remove the ceiling.
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Light, flexible and radiation-resistant: organic solar cells for space
Some carbon-based solar cells already show no drop in performance after three years’ worth of radiation, and the cause of degradation in others could be preventable.
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Toward quantum for the real world: photonic team in running for center-level funding
A team led by the University of Michigan aims to bring the extraordinary accuracy of quantum laboratory measurements to real-world devices.
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Educating People-First Engineers: A Q&A with Cindy Finelli and Erin Cech
Preparing the next generation of engineers to consider public welfare when developing new technologies.
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Up to 30% of the power used to train AI is wasted. Here’s how to fix it.
Smarter use of processor speeds saves energy without compromising training speed and performance.