Category: EECS: Computer Science and Engineering
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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.
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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.
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Advanced computer architecture and interdisciplinary computing
NAE profile: Daniel E. Atkins, interdisciplinary engineering, computer science and engineering