Category: Electrical Engineering and Computer Science
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New process layers uniform ScAlN on 3D surfaces
Scandium aluminum nitride can now be integrated into high-voltage, high-frequency or piezoelectric devices with plasma-enhanced atomic layer deposition.
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This digital hand enables hands-free virtual reality
More than just a stand-in, the AI-powered agent can complete tasks by following simple voice commands that don’t include nitty-gritty details.
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U-M quantum testbed enables remote experiments
The optical fibers connecting two quantum research labs at the University of Michigan mark the first piece of a local quantum network and remote user test facility.
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Simulated humanoid robots learn to hike rugged terrain autonomously
Now able to learn locomotion and navigation together, robots develop balanced gaits and safe routes.
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Winning the “Nobel Prize” of computing
The world-changing AI research of Andrew Barto (PhD CSE ’75).
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Nano-switch achieves first directed, gated flow of excitons
Moving excitons with light and a nano-ridge could help bridge optics and electronics, enabling new devices and faster, more efficient communication.
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Michigan Plasma Prize honors Lawrence Berkeley Lab physicist
Eric Esarey, Michigan Engineering alumnus and leader in laser-plasma accelerators, receives 2025 award.
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AI system discovers visual categories while adapting to new contexts
Open ad-hoc categorization approach combines language guidance with visual clustering to learn contextualized features for flexible image interpretation.
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University of Michigan startup Ambiq goes public
NSF-funded research led to ultra efficient chip used in wearables and medical devices.
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AI leaderboards can be trustworthy by following these tips
Methods for ranking chess players and athletes don’t always translate to AI. U-M researchers identify and outline best practices.
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Improving AI models: Automated tool detects silent errors in deep learning training
TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, saving time and resources.
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Waymo co-CEO Dmitri Dolgov discusses “prescience and patience”
The CSE alum details his journey from mathematical abstractions to vehicles safely navigating city streets.