Category: Electrical Engineering and Computer Science
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An OLED for compact, lightweight night vision
Thinner than a human hair, the device amplifies and converts near infrared light into visible light with the potential for low power consumption and long battery life.
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In step toward solar fuels, durable artificial photosynthesis setup chains two carbons together
The system produces ethylene, an important ingredient of many plastics, with much higher efficiency, yield and longevity than competing systems.
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X-ray vision
One of the first experimenters at the new flagship US laser, Michigan alum Franklin Dollar’s mission is bigger than research.
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OptoGPT for improving solar cells, smart windows, telescopes and more
Taking advantage of the transformer neural networks that power large language models, engineers can get recipes for materials with the optical properties they need.
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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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Renewable grid: Recovering electricity from heat storage hits 44% efficiency
Thermophotovoltaics developed at U-M can recover significantly more energy stored in heat batteries.
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AI chips could get a sense of time
Timekeeping in the brain is done with neurons that relax at different rates after receiving a signal; now memristors—hardware analogues of neurons—can do that too.
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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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Auto industry deadlines loom for impaired-driver detection tech, U-M offers a low-cost solution
Current technologies already in use could help prevent crashes and deaths linked to impaired driving.
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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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Leader in robotics at U-M and beyond elected to National Academy of Engineering
Dawn Tilbury is recognized for advances in manufacturing network control and human-robot interaction, as well as engineering leadership.