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: https://t.co/nI3SvMXWqA
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
AI is becoming increasingly important in industry to evaluate and control complex processes. Rieter and Johann Jacob Rieter Foundation are now teaming up to finance an Endowed Professorship for #IndustrialAI at @engineeringzhaw https://t.co/P7o83FY475
#AI#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: https://t.co/hVjbgRFsyY
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.
https://t.co/0Y8bMSzSRg
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
Now available for ACM Members: "Applied Data Science: Lessons Learned for the Data-Driven Business," edited by Martin Braschler, @thilo_on_data, Kurt Stockinger (@ZHAW). The book targets professionals as well as students of data science. https://t.co/YhDe5eXwA9
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: https://t.co/bP5rIwx7O7
Looking for a Senior Lecturer for Computer Vision and MLOps (research / teaching / management) to join us at the @engineeringzhaw Centre for AI: https://t.co/DbISxzc6Gk
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: https://t.co/xVVz6VswIk
Interesting talk today by @cvdmalsburg at @engineeringzhaw's Centre for AI and @DataScienceCH on the difference between human and machine learning. Recording available from https://t.co/5UVGnA08mJ
Event verpasst? Im Beitrag unten erfahrt ihr, was @nicolebuettner, @praemandatum und @DariusZumstein über Google, Facebook und Go. zu sagen haben und ihr könnt die Aufzeichnung in voller Länge anschauen.
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