Industrial AI Podcast· Folge 331

Calling America - World Models Are Back

Donnerstag, 12. März 2026 · 21 min

MP3

Shownotes

Jakub Tomczak on: Why neurosymbolic approaches and domain knowledge could reshape the AI race. Is Europe poised to lead this new era?
In this episode, we dive into the resurgence of world models in AI and explore why the industry is revisiting neurosymbolic approaches. We challenge the dominance of data-centric models and discuss how combining symbolic knowledge with machine learning could unlock new breakthroughs. Our conversation highlights Europe's unique strengths and potential as a leader in this evolving landscape. We also address the importance of domain expertise and mathematics, and question whether the current AI race is stifling real innovation. Join us for a candid discussion on what the next wave of AI could—and should—look like.

We thank our partner SIEMENS (siemens.de/de)

Siemens

new.siemens.com/global/en/products/automation/…

OpenAI

openai.com

Anthropic

anthropic.com

Claude

anthropic.com/claude

Jürgen Schmidhuber

people.idsia.ch/~juergen

UC Berkeley

bair.berkeley.edu

NextAI Austria

nextai.at

ME-AI

me-ai.org

AWS (Amazon Web Services)

aws.amazon.com

Apple

machinelearning.apple.com

Promato

promato.com

Jeff Bezos

en.wikipedia.org/wiki/Jeff_Bezos

Residual Neural Networks (ResNets)

en.wikipedia.org/wiki/Residualneuralnetwork (en.wikipedia.org/wiki/Residual_neural_network)

Kaiming He

scholar.google.com/citations?user=Phg3rFYAAAAJ…

ICML (International Conference on Machine Learning)

icml.cc

Digital Twins

en.wikipedia.org/wiki/Digital_twin

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