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

Industrial AI Podcast

English - October 26, 2022 22:01 - 57 minutes - 67 MB
Technology machine learning maschinenbau industrie künstliche intelligenz industrial ai artificial intelligence data ai podcast siemens Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed

Previous Episode: Deep Vision: Technology trends with Cees Snoek

Next Episode: Reinforcement Learning for a hydraulic system?

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

We spoke with the three directors of the MCML about research priorities, the battle for the best minds and the role of tech companies. Thank you: Prof. Dr. Daniel Cremers, Prof. Dr. Thomas Seidl and Prof. Dr. Bernd Bischl.