| Github | https://github.com/mllg |
| Website | https://rc-trust.ai/about/scientists/michel-lang |
🚀 The RC Trust Internship Program 2026 is open!
Funded research internships in trustworthy & robust AI – with close supervision, international exchange, and time to focus on what matters: your research. 🧠🤝
📅 Deadline: December 31, 2025
👉 https://rc-trust.ai/career/internship-program
#InternshipProgram #TrustworthyAI #Research #AI #AcademicCareers #InternationalResearch
On February 20, Prof. Edward Lee from UC Berkeley will give a talk with the title "Will Embodied AI Become Sentient?" as part of our newly established Lecture Series.
🗓️ When? February 20th, 2:15 pm
🏠 Where? ❗Room change❗HG1/HS6 at the South Campus, TU Dortmund
You can register online. The program starts at 10 a.m. and we look forward to seeing everyone who comes by.
Details: https://rc-trust.ai/news
The #mlr3 book has a new chapter on validation and internal tuning (e.g. early stopping): https://mlr3book.mlr-org.com/chapters/chapter15/predsets_valid_inttune.html #rstats
The chapter describes some newly introduced features in mlr3 that allow you to define validation splits for iterative learning procedures such as boosting or neural networks, even in complex learning pipelines. Furthermore, you can now easily combine early stopping with standard hyperparameter tuning.
It was a huge honour for me today with Raphael to posthumously hand over the European #SFSAward 2024 to #vim developer Bram Moolenaar for his invaluable contributions to the #FreeSoftware community.
If you are a #vim user, have been an #vim user, or admire Bram's work, please boost this message.
I am deep in the rabbit hole of looking into an apparently deeply scammy looking zsh plugin manager called "zi".
I think it's an extremely bad idea to use "z-shell/zi" or anything else from the same "creators". There's an entire field of red flags here.
Excited to announce that “Applied Machine Learning Using mlr3 in R”, will be published by Chapman and Hall on 19 Jan. Authored and edited by the mlr core team, our book provides a practical guide to #MachineLearning in #RStats using our #mlr3 software.
mlr3 is an award-winning ecosystem of R packages that have been developed to enable state-of-the-art machine learning capabilities in R. Applied Machine Learning Using mlr3 in R gives an overview of flexible and robust machine learning methods, with an emphasis on how to implement them using mlr3 in R. It covers various key topics, including basic machine learning tasks, such as building and evaluating a predictive model; hyperparameter tuning of machine learning approaches to obtain peak perfor
Are you interested in #academicjobs?
We are currently looking for #PhD students and a #postdoc to work on exciting and interdisciplinary topics in the areas of #MachineLearning, #DataScience and #AI.
9 positions for PhD students
https://rc-trust.ai/Open-PhD-Positions-RC-Trust.pdf
1 Young Investigator Group Leader
https://rc-trust.ai/postdocs_and_young-investigator-groups-RC-Trust.pdf
📢 Apply NOW! (by 15 April) @[email protected] @[email protected]
RC Trustworthy Data Science
idw_online
sebffischer
Matthias Kirschner
Dylan Nugent
RC Trustworthy Data Science