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