The Industrial AI Podcast reports weekly on the latest developments in AI and machine learning for the engineering, robotics, automotive, process and automation industries. The podcast features industrial users, scientists, vendors and startups in the field of Industrial AI and machine learning. The podcast is hosted by Peter Seeberg, Industrial AI consultant and Robert Weber, tech journalist. Their mission: Demystify Industrial AI and machine learning, inspire industrial users. The Industrial AI Podcast is a proud partner of the Women in AI & Robotics initiative. The hosts: Peter Seeberg is an Industrial AI and machine learning expert for the manufacturing industry. He worked over 25 years in IT (Intel) and 10 years in Automation. He co-initiated the Industrial Data Intelligence Startup (Softing) where he was responsible for managing machine learning projects in industrial environments. Today he advises companies when it comes to Industrial AI and machine learning. Together with Robert Weber, journalist for industrial topics, he discusses AI and ML applications, standards, and education topics, make or buy decisions as well as regulation for AI in manufacturing.
http://www.aipod.de
episode 184: Why do you call TabPFN a revolution for data science?
Prof. Dr. Frank Hutter is one of the fathers of the AutoML approach. Now he has followed up and promised a revolution. TabPFN is its name. What is it?
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
News:
Facebooks Language Model: https://github.com/facebookresearch/llama
Arduino and ML: https://hackaday.com/2023/02/24/tiny-machine-learning-on-as-little-as-2-kb-of-ram/
Our guest: Prof. Dr. Frank Hutter
The TabPFN Paper: https://arxiv.org/abs/2207.01848
The Summary: https://www.automl.org/tabpfn-a-transformer-that-solves-small-tabular-classification-problems-in-a-second/