Category: EECS: Computer Science and Engineering
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Ten early-career engineers earn NSF CAREER awards
The rising researchers will lead projects including smart bandages for monitoring wounds, improved air traffic management and real-time tumor tracking.
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Designing memory-centric chips for future space telescopes
An SRAM chip design could avoid data-movement bottlenecks, helping next-generation telescopes image Earth-like planets orbiting distant suns.
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Mobile VPN security is not as strong as advertised
A new VPN auditing framework, MVPNalyzer, found many popular Android VPNs transmit sensitive data without encryption, some leak traffic and most fail to protect user IDs.
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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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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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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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byLLM: adding AI to software without the prompt engineering
When using byLLM, developers completed tasks over three times faster and wrote 45% fewer lines of code when creating applications like chatbots and virtual assistants.
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New AI minor launches for students across disciplines
The minor enables students from disciplines outside computer science to explore and apply AI in their own fields.
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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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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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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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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.