This November, I was awarded both my university's prestigious DIZH Fellowship for excellent research and the Digital Shaper Award in the category "Impact" for my work on the digital ecosystem - thank you, @ZHAW & @zhawdigital! cc @DataScienceCH , @engineeringzhaw

Open Professorship in Industrial AI (focus Neurosymbolic Learning & Reasoning) at the @engineeringzhaw Centre for AI: The professorship is endowed by the Joh. Jacob Rieter Foundation and @RieterLtd. Application deadline is Jan 31, 2022. cc @DataInnoCH.

Very interesting work by @ltuggener and @SchmidhuberAI, giving new insights into what makes a CNN architecture generalize well beyond ImageNet (hint: the class-count counts: should be equal between pretarining and target data set). cc @DataScienceCH @engineeringzhaw @zhawdigital.

RT @FrontComputSci: New Research: Is it enough to optimize CNN architectures on ImageNet? #computerscience.

RT @RieterLtd: AI is becoming increasingly important in industry to evaluate and control complex processes. Rieter and Johann Jacob Rieter….

I am looking for a new team member and close partner in my Computer Vision, Perception & Cognition Group at the ZHAW Centre for AI: cc @DataScienceCH @DataInnoCH @zhawdigital @engineeringzhaw.

I'm looking for a #PhD student as of September 2022, working with me on robust applications of deep learning (computer vision, transfer learning, trustworthy AI). Recent MSc graduates from universities of applied sciences are specifically welcome.

The @engineeringzhaw Centre for AI published its annual report for 2021, its first year of existence: 271 pages of research articles published in scientific journals and conferences. Thanks to all contributors and collaborators! cc @zhawdigital @DataScienceCH @DataInnoCH

RT @acmeducation: Now available for ACM Members: "Applied Data Science: Lessons Learned for the Data-Driven Business," edited by Martin Br….

Say hi to the newest CAI team member. It’s cute and still young… a lot to learn! We will use it in class to teach the development of machine learning in the context of autonomous systems. It might also get bigger siblings for research purposes :) @engineeringzhaw @DataScienceCH

To all makers, nerds, hackers and other kinds of extremely valuable unicorns: the @engineeringzhaw CAI is looking for a person in charge of building AI demos and contributing to the further development of our GPU cluster infrastructure. See details here:

Looking for a Senior Lecturer for Computer Vision and MLOps (research / teaching / management) to join us at the @engineeringzhaw Centre for AI:

While human decisions become less biased when sensitive attributes are concealed, AI systems are the opposite. Thus, bias ≠ awareness. Full study by my PhD student @mo_amirian and colleagues available open access:

Interesting talk today by @cvdmalsburg at @engineeringzhaw's Centre for AI and @DataScienceCH on the difference between human and machine learning. Recording available from

RT @zhawdigital: Event verpasst? Im Beitrag unten erfahrt ihr, was @nicolebuettner, @praemandatum und @DariusZumstein über Google, Facebook….

Representing ZHAW and the CAI today at the Kick-off autonomous systems at @innopark_zh in Duebendorf. Looking forward to interesting discussions and collaborations. @engineeringzhaw @zhawdigital @StandortZurich @DataScienceCH

Exciting job opening at the Centre for Artificial Intelligence of @engineeringzhaw: Professor (f/m) for AI/ML and member of the centre leadership with ample freedom - see Probably one of the best positions to shape applied AI in Zurich & beyond!.

Our new article "The AI-Atlas: Didactics for Teaching AI and Machine Learning On-Site, Online, and Hybrid" builds upon a teaching-award-winning concept and contains an empirical study how its provisions transfer to distance learning:

We just won the #sds2021 best paper award with our work on „XGboost trained on synthetic data to extract material parameters of organic semiconductors“ by Evelyne Knapp, Mattia Battaglia, @thilo_on_data , Sandra Jenatsch and Beat Ruhstaller.

Happy to announce our Special Issue on "Advances in Deep Neural Networks for Visual Pattern Recognition" in the Journal of Imaging, open for methodical and applied contributions. See CC @engineeringzhaw @DataInnoCH @DataScienceCH @zhawdigital