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

https://new.siemens.com/global/en/products/automation/topic-areas/artificial-intelligence.html

https://openai.com/

https://www.anthropic.com/

https://www.anthropic.com/claude

https://people.idsia.ch/~juergen/

https://bair.berkeley.edu/

https://www.nextai.at/

https://me-ai.org/

https://aws.amazon.com/

https://machinelearning.apple.com/

https://www.promato.com/

https://en.wikipedia.org/wiki/Jeff_Bezos

https://en.wikipedia.org/wiki/Residualneuralnetwork

https://scholar.google.com/citations?user=Phg3rFYAAAAJ&hl=en

https://icml.cc/

https://en.wikipedia.org/wiki/Digital_twin