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Let's Talk Research

Let's Talk Research
Let's Talk Research
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  • Episode 3: Machine-learned interatomic potentials (MLIPs)
    This month we speak with Christoph Brunken and Jules Tilly about how MLIPs are reshaping molecular simulation, from improved accuracy and generalisation to major gains in efficiency. We also discuss InstaDeep’s contribution to the field through the mlip Python library released earlier this year.📖 Read the blog → https://bit.ly/4i5UmZR 🍎 Follow the podcast → https://bit.ly/4oAnJWy ⚛️ Explore the library → https://bit.ly/3Xm8Rz8
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  • Episode 2: BFNs for Biology
     Alex Graves is back for part two of the BFN story! Listen as we discuss the practical side of Bayesian Flow Networks and their real world applications in biological data.  📖 Read Alex’s blog → https://bit.ly/3J0HFCE 🧪 Explore the AbBFN2 demo → https://bit.ly/4okTfXZ
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  • Episode 1: Advancing AI with Bayesian Flow Networks
    In the first episode of Let’s Talk Research, Alex Graves shares the untold story of Bayesian Flow Networks, the product of over a decade. Learn how a question in 2010 became a new class of generative model, in part 1.📄 Read the paper → Link🧬 Access the code → LinkOur hosts for this episode are: Bora Guloglu: LinkedIn⁠ Massimo Bortone: LinkedIn
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À propos de Let's Talk Research

Welcome to Let’s Talk Research, the official InstaDeep podcast! Join us every month as we speak with the minds behind AI discoveries, guiding you through the latest cutting-edge breakthroughs. InstaDeep is a recognised leader at the forefront of AI innovation. Join us as our research helps shape a future where AI benefits everyone. Learn more: Research: https://instadeep.com/research/ GitHub: https://github.com/instadeepai HuggingFace: https://huggingface.co/InstaDeepAI X: https://x.com/instadeepai LinkedIn: https://www.linkedin.com/company/instadeep
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