Category: EECS: Computer Science and Engineering
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A new era in AI health research: A Q&A with Jenna Wiens
A co-director of U-M’s AI & Digital Health Innovation discusses the custom-built digital environment that will power tomorrow’s health AI research.
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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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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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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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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.
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Accounting for bias in medical data helps prevent AI from amplifying racial disparity
Some sick Black patients are likely labeled as “healthy” in AI datasets due to inequitable medical testing.
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Four election vulnerabilities uncovered by a Michigan Engineer
All have solutions, some are implemented.
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U-Michigan’s lead role in vital automotive semiconductor efforts
Through R&D, education, and international partnerships, Michigan Engineers are working to unleash the next wave of advancements in mobility.
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Real-time descriptions of surroundings for people who are blind
The quick and clear mental image of the real world helps people who are blind or have low vision focus on other tasks, or just enjoy the things around them.
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Electric vehicle lessons cruise into Michigan classrooms
New curriculum in U-M professor’s digital education platform introduces K-8 students throughout Michigan to jobs in one of the state’s emerging industries.
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You’re just a stick figure to this camera
The anonymity could reduce unnecessary surveillance in an age of smart devices.
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The legacy of Lynn Conway, chip design pioneer and transgender-rights advocate
Conway, professor emerita of electrical engineering and computer science, has died.