Category: EECS: Computer Science and Engineering
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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.
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Managing screen time by making phones slightly more annoying to use
Delaying a phone’s swiping and tapping functions forces users to think harder, making it easier for them to consider whether to keep scrolling.
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Widely used AI tool for early sepsis detection may be cribbing doctors’ suspicions
When using only data collected before patients with sepsis received treatments or medical tests, the model’s accuracy was no better than a coin toss.
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Biases in large image-text AI model favor wealthier, Western perspectives
AI model that pairs text, images performs poorly on lower-income or non-Western images, potentially increasing inequality in digital technology representation.
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Nextgen computing: Hard-to-move quasiparticles glide up pyramid edges
Computing with a combination of light and chargeless excitons could beat heat losses and more, but excitons need new modes of transport.
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Michigan Engineering to launch semiconductor training program as part of statewide effort
The University of Michigan’s latest program to grow the microchip workforce aims to reach up to 600 participants a year.
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New phone case provides workaround for inaccessible touchscreens
Touchscreens are everywhere but not built for everyone. A new device could help bridge that gap, helping users access ticket kiosks, restaurant menus and more.
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U-Michigan a partner in two CHIPS Act Midwest microelectronics hubs
The latest DoD funding announcements bolster Michigan Engineering’s efforts to support revitalization of the U.S. semiconductor sector.
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Toyota Research Institute and Michigan Engineering discuss importance of long-standing partnership
As the auto industry expands beyond transportation, university collaborations are more important than ever.
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Senate testimony: AI risks to the financial sector
U-M professor of computer science and engineering identifies new concerns that recent AI advances pose for financial markets.
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$7.5 million to predict and communicate flood risk
Engineers, atmospheric scientists, psychologists and anthropologists team up to develop better flood predictions and ensure decision-makers can understand them.