Michael Bronstein
@mmbronstein
#DeepMind Professor of #AI @UniofOxford / Fellow @ExeterCollegeOx / Chief Scientist @vant_ai / michael-bronstein.medium.com (opinions are my own)
ID: 62044012
https://www.cs.ox.ac.uk/people/michael.bronstein/ 01-08-2009 14:32:57
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Excited to share a new perspective on Graph Artificial Intelligence in Medicine | Annual Reviews Annual Reviews - go.shr.lc/4g0KpLV Led by fantastic Ruthie Johnson Michelle M. Li (李敏蕊) Ayush Noori Owen Queen Harvard Data Science Initiative Broad Institute Kempner Institute at Harvard University DBMI at Harvard Med
I thought the interview with Jürgen Schmidhuber on Machine Learning Street Talk was really well done. Full of inspiration and creative energy. 🔥 For those who think ChatGPT and LLM variants have solved “AGI”, I recommend watching the full video. Looking forward to Part 2! youtu.be/DP454c1K_vQ
🔥Friday's talk with Zhonglin Cao (NVIDIA), Janani Durairaj (University of Basel) & Daniel Kovtun (VantAI) on P(L)INDER - new benchmarks for protein-protein & protein-ligand interactions is now live on our yt channel (incl. info on upcoming MLSB workshop & slides) youtube.com/watch?v=DLniEF…
📢 Missed the last lecture? Here's the key takeaways for the upcoming MLSB @ NeurIPS challenge: 🧵 📅 The PINDER + PLINDER + MLSB teams are organizing a training workshop Sep 24th - plinder.sh/blog/training 🎯 Tasks: flexible protein-protein & protein-ligand docking/co-folding
Friends, as the saying approximately goes: "Fortune favours the bald" 👴 👉 My proposal "HOLES: Higher-Order Learning of Essential Structures with Geometry and Topology" was successfully funded with a 1.5M € European Research Council (ERC) Starting Grant! 👈 🤯🤯🤯 This will allow me to pursue
We are pleased to announce the release of The Protein Design Archive. Our comprehensive database of designed proteins highlights the triumphs and challenges of the field: pragmaticproteindesign.bio.ed.ac.uk/pda/ Preprint:biorxiv.org/content/10.110… Michael Stam Marta Chronowska WoolfsonLab #proteindesign
I am happy to announce that Aleksandar Bojchevski, Michael Schaub, Martin Grohe, and I are organizing a Learning on Graphs Conference 2024 local meet-up in Aachen (27.11.-28.11.), including keynotes from Stephan Günnemann and Rebekka Burkholz. See log-rwth.github.io/log-meetup-202… for more information.