Category: Artificial Intelligence
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A common language to describe and assess human-agent teams
Using a new taxonomy, an analysis of testbeds that simulate human and autonomous agent teams finds a need for more complex testbeds to mimic real-world scenarios.
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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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AI increases accuracy of National Water Model flood predictions
AI designed to weed out errors bolsters forecasts and could reduce damage costs.
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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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$19.4M for an ‘AI oracle’ to solve complex physics problems
U-Michigan leads new DOE-funded computational center focused on next-generation hypersonic flight.
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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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Conference: Scientific discovery in the age of AI
Experts from academia, industry and government discussed the growing utility of generative AI in science and what’s coming next.
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Reinforcement learning for nuclear microreactor control
A machine learning approach outcompetes the industry standard for adjusting power generation to meet demand, especially in imperfect conditions.
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Using GenAI without hindering learning: Students want guidance
At Engineering Education Innovation event, educators shared research, ideas and student perspectives.
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AI isn’t just for computer science anymore: how engineers in every discipline are teaching it
Equipping engineers for a world with AI is more than prompt engineering—many will design neural networks, foundation models and more to help solve problems in their careers.