Michigan AI

Michigan AI This is Michigan AI Laboratory, a vibrant research group that includes faculty, research scientists, graduate students, and postdoctoral fellows working in AI.

One prompt to rule them all? 🚀SPRIG finds a single optimized system prompt can rival task-specific tuning & generalizes ...
05/29/2026

One prompt to rule them all? 🚀
SPRIG finds a single optimized system prompt can rival task-specific tuning & generalizes across models and settings.

Research by Lechen Zhang, Tolga Ergen, Lajanugen Logeswaran, Moontae Lee, David Jurgens.

🔗https://arxiv.org/abs/2410.14826

This work just published in "Transactions on Machine Learning Research" introduces ThinkPRM, a long CoT verifier that sc...
05/28/2026

This work just published in "Transactions on Machine Learning Research" introduces ThinkPRM, a long CoT verifier that scales verification compute effectively while requiring minimal supervision for training.

Get the details: https://arxiv.org/abs/2504.16828

05/28/2026

Rethinking game-playing with 🎲

Code World Models use LLMs to generate full game simulators in Python, unlocking deeper strategy, fewer illegal moves, and strong performance across games.

Outperforms or matches Gemini 2.5 Pro on most tested games.

Work by: Wolfgang Lehrach, Daniel Hennes, Miguel Lazaro-Gredilla, Xinghua Lou, Carter Wendelken, Zun Li, Antoine Dedieu, Marc Lanctot, Atil Iscen, John Schultz, Marcus Chiam, Ian Gemp, Piotr Zielinski, Satinder Singh, Kevin Murphy

Take a look! ✅ https://lnkd.in/eekJhgT2

What happens when reshapes the very institutions societies rely on?This new work argues that current AI systems can ...
05/26/2026

What happens when reshapes the very institutions societies rely on?

This new work argues that current AI systems can already weaken institutional capacity by accelerating operations, reinforcing existing biases, and creating artificial consensus at scale, raising urgent questions:

https://icml.cc/virtual/2026/poster/67167

05/24/2026

Autonomous robots and AI models could help shipyard workers catch when a ship’s built structure differs from design drawings, allowing workers to fix problems or adapt sooner. University of Michigan Engineering is leading the American arm of an international project to develop such a system.

Funded with a $6.2 million grant from the Japanese Ministry of Land, Infrastructure, Transport and Tourism, the collaboration will design and prototype AI and robot teammates to track what was actually built inside the growing ship and compare it to a digital twin of the intended structure. The system will then create reports of mismatches that workers can use to make adjustments.

“We want to build a co-pilot system that uses AI and robotics to take some of the detective work off workers’ shoulders,” said Alan Papalia, assistant professor in NAME at Michigan and the principal investigator of the American research team.

“The system should automatically map what’s installed, identify where reality is drifting from the design, and suggest workable alternatives when something needs to change.”

Read more ⬇️

05/24/2026

New season, new goals! The 5/22 Grad Student Newsletter is here to help you thrive: myumi.ch/J4rNG

How do you stand out in ? 🎯At Michigan Engineering, CS Tracks let students tailor their path, building expertise in are...
05/22/2026

How do you stand out in ? 🎯
At Michigan Engineering, CS Tracks let students tailor their path, building expertise in areas like , , and while keeping flexibility.

Customize your CS degree with a CS Track:

Made up of optional groupings of upper-level courses, CS tracks let computer science majors at U-M build expertise in areas from AI to theory.

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