# Max Welling
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max welling (born 1968) is a Dutch computer scientist in machine learning at the University of Amsterdam. In August 2017, the university spin-off, “Scyfer BV”, co-founded by Welling was acquired by Qualcomm and he has since then served as a VP Technologies at Qualcomm Netherlands.Welling received his PhD in quantum physics under the supervision of Nobel laureate Gerard 't Hooft (1998) at the Utrecht University. He has published over 250 peer-reviewed articles in machine learning, computer vision, statistics and physics.
Carbon capture and Materials Design with AI: The journey of CuspAI as a Startup in this Space
In this exciting episode, we dive into the transformative potential of AI in carbon capture and materials design. Learn about the journey of CuspAI, a pioneering startup in this space, and how AI is driving innovation for a more sustainable future.
Our guest, Max Welling, CAIO & Co-founder at C ...
🔬Searching the Space of All Possible Materials — Prof. Max Welling, CuspAI
Editor’s note: CuspAI raised a $100m Series A in September and is rumored to have reached a unicorn valuation. They have all-star advisors from Geoff Hinton to Yann Lecun and team of deep domain experts to tackle this next frontier in AI applications.
In this episode, Max Welling traces the thre ...
Iowa Football Sanctions, Saban's Creme Pies, WNBA Expansion | TAG Lines Teaser
Grant and Tyler turn the April 16 “taglines” into the main Washed up Walk Ons show after recording a late-night guest episode, then bounce through topics including Tyler jokingly promoting his own sponsor, Patreon/Discord perks, and a spring merch sale with discounted tees and upcoming restocks. ...
Deep Learning - Graph Deep Learning Part 2
Deep Learning - Graph Deep Learning Part 2
In this video, we demonstrate how to go from spectral to spatial domain in graphs.
Further Reading:
A gentle Introduction to Deep Learning
References
[1]: Kipf, Thomas N., and Max Welling. "Semi-supervised classification with graph convoluti ...
How CuspAI is Revolutionising Materials Discovery, with Debbie Toms
When Debbie Toms met Chad Edwards at a casual barbecue in early 2024, neither of them could have predicted what would unfold. Two years on, CuspAI has raised over $130 million, assembled a world-class team across Europe, and is tackling some of humanity's most pressing challenges through AI driv ...
Can AI Create Materials That Never Existed?
CuspAI was co-founded by Max Welling, a pioneer of modern AI. But instead of building chatbots, he's creating and harnessing AI to discover new materials for everything from carbon capture to water purification, plastic alternatives, and more efficient batteries.
If this works, it could change ...
AI for Science and the Thermodynamics of Generative AI - with Max Welling (UvA, CuspAI)
In this episode, we sit with Max Welling, Professor of Machine Learning at the University of Amsterdam, co-founder and CTO of CuspAI, and a foundational figure behind variational autoencoders (VAEs), equivariant networks, and Bayesian deep learning. We talk about AI for science, the physics unde ...
Why the Next AI Breakthrough May Come from Physics with Max Welling - #774
The conventional wisdom in AI is that the next breakthrough will come from more compute, more data, and larger models. But what if the next leap comes from somewhere else?
In this episode, Max Welling—co-founder and CTO of CuspAI and professor at the University of Amsterdam—argues that physics ...
AI Material Breakthroughs & The Missing Modality
From leaderboard battles to autonomous labs—rethinking industrial AI, physical data, and the future of how we think.
In this episode, we dive deep into the evolving landscape of industrial AI—from the fierce competition on model leaderboards to the real-world impact of open versus closed AI syst ...
#10 — Max Welling: AI’s Energy Wall, Physics as the Next Breakthrough, and Discovering New Materials with CuspAI
Is AI approaching a compute and energy wall? Max Welling, Professor at the University of Amsterdam and Co-Founder and CTO of CuspAI, explains why physics could help unlock more efficient intelligence. We discuss discovering new materials with AI, turning predictions into real-world applications, ...
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