Today @cusp_ai and @KemiraGroup announce a milestone in AI-driven materials discovery. We have used generative AI to design new materials targeting PFAS removal from drinking and process water at trace concentrations.
@wellingmax
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New Paper Details Symmetry Breaking and Goldstone Modes in Deep Learning
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We put the paper online that provides further details (beyond my ICLR keynote) on the role of spontaneous symmetry breaking and Goldstone modes in deep learning. Enjoy! (w/ Nabil Iqbal, Thomas Andy Keller, Takeru Miyato and Yue Song.)
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Interview Martin Advisory Board Member CUSP AI
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Watch the whole interview with Martin, a valued member of the @cusp_ai advisory board, on YouTube now:
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AI Accelerates Learning Cycles and Educational Development
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He shares my belief that AI can help significantly reduce these learning cycles.
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Iterative Material Design Process and Composition Analysis
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Why not more frequently? The process for designing new materials can take many iterative learning cycles, where materials’ compositions are analysed, and resulting effects are closely scrutinised.
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ASML CTO on Materials Compatibility in Semiconductor Manufacturing
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Above I share another clip from my recent interview with former @ASMLcompany President and CTO Martin van den Brink, where we discussed the process to ensure new materials are compatible with processing in the semiconductor industry.
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Revolutionary Materials Transform Semiconductor Industry Once Generation
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Introducing new materials into industrial processes can be a revolution for customers across industries. In the semiconductor space for example, a new, gamechanging material is introduced about once in a generation… pic.twitter.com/wgKZN1tLZ1
— Max Welling (@wellingmax) 29 avril 2026Introducing new materials into industrial processes can be a revolution for customers across industries. In the semiconductor space for example, a new, gamechanging material is introduced about once in a generation…
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Generative AI Stochastic Thermodynamics Book Pre-order Now
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Our book on Generative AI and Stochastic Thermodynamics can be pre-ordered with a 20% discount until July 31 2027. (All proceeds from the authors will be donated to the African Institute for Mathematical Sciences).
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kUPS: Molecular Simulation Engine for AI Era
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Read our technical blog and access the open-source toolkit for kUPS in the link below. No more context switching… just science. Blog: https://
medium.com/@CuspAI/kups-a
-molecular-simulation-engine-for-the-ai-era-b213963a2359
… Github: -
kUPS GPU Optimization Achieves 49x Throughput Over RASPA
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We’ve optimized kUPS specifically for GPU in collaboration with @nvidia , achieving up to 49× throughput over widely used software like RASPA for specific simulations.