MCML: Where do we want the core AI/ML research to happen?

In addition, we ask the question, what should academia do in the future in the AI space and how do they deal with the competition to Meta, Alphabet or AWS? Thanks go to Thomas Meier of MCML for making the podcast possible. The podcast is growing and we want to keep growing. That's why our German-language podcast is now available in English. We are happy about new listeners. We thank our new partner [Siemens](https://new.siemens.com/global/en/products/automation/topic-areas/artificial-intelligence-in-industry.html) News part: Frank Hutter: https://www.automl.org/tabpfn-a-transformer-that-solves-small-tabular-classification-problems-in-a-second/ Microsoft: https://1e9.community/t/microsoft-soll-wegen-einer-programmier-ki-verklagt-werden-die-mit-open-source-code-trainiert-wurde/18127 Our guests: Prof. Dr. Thomas Seidl https://www.linkedin.com/in/prof-dr-thomas-seidl-846b88103/ Prof. Dr. Daniel Cremers https://www.linkedin.com/in/daniel-cremers/ Prof. Dr. Bernd Bischl https://www.statistik.uni-muenchen.de/personen/professoren/bischl/index.html