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
https://new.siemens.com/global/en/products/automation/topic-areas/artificial-intelligence.html
OpenAI
Anthropic
Claude
https://www.anthropic.com/claude
Jürgen Schmidhuber
https://people.idsia.ch/~juergen/
UC Berkeley
NextAI Austria
ME-AI
AWS (Amazon Web Services)
Apple
https://machinelearning.apple.com/
Promato
Jeff Bezos
https://en.wikipedia.org/wiki/Jeff_Bezos
Residual Neural Networks (ResNets)
https://en.wikipedia.org/wiki/Residualneuralnetwork
Kaiming He
https://scholar.google.com/citations?user=Phg3rFYAAAAJ&hl=en