Category: Electrical Engineering and Computer Science
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UK’s Royal Society elects Stephen Forrest, engineer and entrepreneur
Forrest’s work underpins commercial fiber-optic communications and OLED displays, with an eye to future generations of photovoltaics.
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AI helps instructors give better feedback but can’t replace them
A randomized trial in a large economics course found that AI-mediated feedback improved students’ revisions when teaching assistants stayed in control.
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A hardware-software co-design to efficiently run AI on edge devices
Adjusting state space models to work with a compute-in-memory architecture demonstrated energy-efficient processing of continuous event sequences.
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Meeting EV electricity demand: upgrade grid first, then add V2G chargers
Vehicle-to-grid (V2G) chargers enable utilities to use EVs like a mobile battery network, but when and where they are deployed will determine how cost-effective they are.
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AAAS welcomes four new fellows from University of Michigan Engineering
The honorees are recognized for contributions to human biology, fundamental physics, next-generation computing hardware and advanced vehicle control.
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How to improve AI energy efficiency with open-source tools: Q&A with Mosharaf Chowdhury
Any company could use our tools to measure and optimize their AI models and reduce AI energy use.
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Nanoscale hotspots in OLEDs may shorten their lifespans in phones, TVs
Concentrated rivers of current create flickering hotspots in conventional amorphous OLEDs, but crystalline designs may not have this problem.
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Exploring the fundamental limits of entangled quantum sensor networks
A new Michigan-led project aims to develop systems that reap the full benefit of quantum networks.
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AI energy use: New tools show which model consumes the most power, and why
Software can help developers assess AI model energy use, which is necessary to lower costs and strain on the grid.
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Generosity gives new faculty space to grow
A gift from a former student helps attract the best and brightest to teach and research at the University of Michigan Engineering.
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A microfluidic chip monitors gases using integrated, motionless pumps
The integrated design achieves accurate micro gas chromatography and can help reduce the cost of monitoring chemical synthesis, natural gas pipelines or at-home air quality.
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AI tool predicts battery cycle life with just a few days’ data
A ‘learner,’ ‘interpreter’ and ‘oracle’ work together with minimal experiments to draw parallels between historical data and new battery designs.