The Machine Learning Seminar Series continues tomorrow with Saurabh Mathur from Technical University of Darmstadt.
Talk title: "Tabular Foundation Models as Recursive Inference Machines"
More info: z.umn.edu/MathurMLSeminar
Join us today at 11:15 a.m. for the Cray Distinguished Speaker Series featuring Dieter Fox from @uwcse!
"Where the Data Runs Out: ToyBlocks and the Science of Robot Foundation Models"
Talk info: z.umn.edu/FoxColloquium
Hope to see you today at 11:15 a.m. in Lind Hall 325!
Two colloquium in one week! 🙌
Join us this Friday, Oct. 30 with CRAY Distinguished Speaker Nik Sultana from Illinois Institute of Technology.
Event info: z.umn.edu/SultanaCRAY
Join us tomorrow for another BICB Seminar featuring Dr. Aadel Chaudhuri from @MayoRadOnc!
The talk is accessible on both the UMN Rochester and Twin Cities campus.
Event details: z.umn.edu/BICBSeminar
Two colloquium in one week! 🙌
Join us this Friday, Oct. 30 with CRAY Distinguished Speaker Nik Sultana from Illinois Institute of Technology.
Event info: z.umn.edu/SultanaCRAY
UMN Computer Science & Engineering retweeted
Check out @shirley_ah_'s Kolab project benchmarking human-AI collaboration long-horion workflow from 115+ hours of videos across 40 occupations by 50 professionals! Rather than benchmarking how frontier models fully automate your tasks, we should study how they better help and collaborate with human professionals.
Code Freeze is back! Save the date for Code Freeze 2027 - AgenticSE.
The first 50 people to register will receive a $25 discount on their ticket!
Learn more: z.umn.edu/AgenticSE
Register today: z.umn.edu/CodeFreeze27
CSE DSI Machine Learning Seminar Series continues this week with David I. Inouye from @PurdueECE!
Event info: z.umn.edu/InouyeMLSeminar
Hope to see you there!
Our Cray Distinguished Speaker Series continue on Monday, 10/26 with Ken Perlin from New York University.
His talk will explore the powerful future XR glasses.
Event info: z.umn.edu/PerlinColloquium26
Our Cray Distinguished Speaker Series continue on Monday, 10/26 with Ken Perlin from New York University.
His talk will explore the powerful future XR glasses.
Event info: z.umn.edu/PerlinColloquium26
Hope to see you today at 11 AM in Walter 402!
Join us next Thursday for a special @knwl_cmp_lab Seminar with researchers from @ORNLComputing!
Dalton Lunga and Jacob Arndt will discuss their work with the GeoAI group.
Event info: z.umn.edu/KCLSeminar
The Machine Learning seminar series continues tomorrow with a talk from @ZishenW (@ColumbiaCompSci).
Learn more: z.umn.edu/MLWan
Hope to see you today at 11:15 am in Keller 3-180!
Join us next Monday, 10/19 for the CRAY Distinguished Speaker Series featuring @rao2z from @SCAI_ASU!
Event info: z.umn.edu/KambhampatiColloqu…
Join us next Thursday for a special @knwl_cmp_lab Seminar with researchers from @ORNLComputing!
Dalton Lunga and Jacob Arndt will discuss their work with the GeoAI group.
Event info: z.umn.edu/KCLSeminar
Join us next Monday, 10/19 for the CRAY Distinguished Speaker Series featuring @rao2z from @SCAI_ASU!
Event info: z.umn.edu/KambhampatiColloqu…
The BICB Seminar series continues tomorrow with Aleksandra Babicheva from the Hormel Institute.
Hope to see you there!
The BICB Seminar series is back! Check out the first speaker, Dr. Sasha Prisco, tomorrow from 5-6 p.m. at one of three locations:
Twin Cities campus: MCB 2-122
Rochester campus: USq 322
Virtual
Details: z.umn.edu/BICBSeminar
UMN Computer Science & Engineering retweeted
How much time do you struggle to edit AI-generated "slop" in your teams’ work? We built a system to help automate the process.
Our Scientific Slop Index (SSI) measures scientific slop in a draft not only looking at words but also investigating their scientific reasoning process: whether sections build on one another, claims and citations are argued, and the method and evidence can be inspected.
Upload your paper and see what it finds!
🌐 Project: yerimoh.github.io/scientific…
📄 Paper: arxiv.org/abs/2610.00531
🤗 Benchmark: huggingface.co/datasets/yeri…
We plan to run the system on 60K ICLR submissions. Stay tuned!
We’re looking for collaborators, sponsors, and contributors. Have examples of scientific slop you’ve encountered? Submit them to help expand our benchmark—or reach out if you’d like to get involved.
AI detectors read your sentences. We read your scientific reasoning and score its slop.
Every ICLR year, 2017–2025: papers with more our "scientific slop" got lower reviewer ratings and were rejected more often.
Calculate yours: yerimoh.github.io/scientific…
UMN Computer Science & Engineering retweeted
Can a model adapt itself according to each incoming prompt? Our recent paper shows that it is indeed possible.
Under the leadership of CS&E Professor Zhi-Li Zhang, the DRIVE-SAFE project recently completed a successful test drive at the University of Utah this July.
This $7 million project aims to improve 5G networks in order to enable AV teleoperations.
cse.umn.edu/cs/news/zhi-li-z…
CS&E Colloquium continues next week with a talk from Andrew Kotz from @3M. The talk will cover the challenges, opportunities for innovation, and key 3M technologies and solutions for software-defined vehicles.
Hope to see you there!
Event info: z.umn.edu/KotzColloquium





















