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Max Jaderberg
@maxjaderberg
President @IsomorphicLabs: solving disease with AI. Prev: Deepmind, Vision Factory (acq. Google), Oxford VGG.
London, England
scholar.google.co.uk/citations?user…
Joined April 2009
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    Max Jaderberg
    @maxjaderberg
    May 12
    Huge news today at Isomorphic Labs! We have secured $2.1 Billion investment to advance the most important mission that AI can unlock: to change the way we can improve human health and create new medicines for patients around the world. This funding milestone was built on the
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    Max Jaderberg
    @maxjaderberg
    Nov 11, 2024
    Excited to share that the AlphaFold 3 model code and weights are now available for academic use. Looking forward to seeing what new research this unlocks and how the research community builds on AlphaFold 3 for scientific discoveries github.com/google-deepmin… 1/2
    GitHub - google-deepmind/alphafold3: AlphaFold 3 inference pipeline.
    From github.com
    165K
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    Max Jaderberg
    @maxjaderberg
    May 8, 2024
    Super excited to be releasing AlphaFold 3 today, developed by @IsomorphicLabs and @GoogleDeepMind: our next generation AI model for predicting the biomolecular structures and interactions of proteins, DNA, RNA, small molecules, and more: bit.ly/44yfaCw 1/
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    Max Jaderberg
    @maxjaderberg
    Nov 22, 2022
    Reading the appendix of an ML paper...
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    Max Jaderberg
    @maxjaderberg
    Jul 27, 2021
    Very excited to release our new work: Open-Ended Learning Leads to Generally Capable Agents. tldr; algorithm that dynamically shapes task distributions to train agents on huge task space, resulting in surprisingly general behaviour dpmd.ai/open-ended-blog Thread: (1/n)
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    Max Jaderberg
    @maxjaderberg
    Oct 16, 2019
    Finally, Transformers working for RL! Two simple modifications: move layer-norm and add gating creates GTrXL: an incredibly stable and effective architecture for integrating experience through time in RL. Great work from Emilio interning at @DeepMindAI arxiv.org/abs/1910.06764
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    Max Jaderberg
    @maxjaderberg
    Jan 17, 2022
    Big change: I've joined @IsomorphicLabs to head up the machine learning team, to focus the power of AI towards the problem of drug discovery, building upon a lot of amazing research we have done at @DeepMind and beyond, to push the frontiers of modeling biology 1/2
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    Max Jaderberg
    @maxjaderberg
    Oct 31, 2023
    Excited to show a glimpse of the next generation of AlphaFold from our teams at @IsomorphicLabs and @GoogleDeepMind. This model expands beyond proteins to include other molecules like small molecules and nucleic acids, and improves accuracy on proteins 1/n bit.ly/45Qt4yT
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    Max Jaderberg
    @maxjaderberg
    Aug 13, 2023
    Physicist, Deep Learner, Chemist
    46K
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    Max Jaderberg
    @maxjaderberg
    Sep 7, 2019
    New reinforcement learning library rlpyt in pytorch thanks to Adam Stooke from @berkeley_ai (and previously intern with me at @DeepMindAI). There are a whole suite of RL algorithms implemented and framework for small and medium scale distributed training. github.com/astooke/rlpyt
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    Max Jaderberg
    @maxjaderberg
    Oct 8, 2020
    Latest surprising ICLR21 submission to stumble upon "Self-Organizing Intelligent Matter: A blueprint for an AI generating algorithm". Mesmerising emergent dynamics, each pixel contains an individual neural network. openreview.net/forum?id=160xF…
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    Max Jaderberg
    @maxjaderberg
    Mar 30, 2021
    Super cool: self-supervised learning on images with a Quantum Neural Network. The quantum net learns better representations than the equivalent classical nets for use on downstream tasks. And is actually evaluated on a real quantum computer! arxiv.org/abs/2103.14653 @benjaderberg
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    Max Jaderberg
    @maxjaderberg
    May 13, 2024
    Really cool to see the huge engagement surrounding AlphaFold 3 and the structures scientists are posting. We’re working to release the AF3 model (incl. weights) in the next 6 months for academic use, so it won’t depend on our research infra. Also the AFServer job limit is now
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    Max Jaderberg
    @maxjaderberg
    Jul 19, 2024
    So many great new papers in diffusion space over the last few weeks, really highlights the flexibility of this modelling paradigm. Some key papers --> 1/ Diffusion Forcing: can introduce independent noise on particular dimensions (e.g. time). train with independent noise, then
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