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Peter Battaglia
@PeterWBattaglia
Research Scientist, DeepMind
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    Excited to present “Learning to Simulate Complex Physics with Graph Networks”. arxiv.org/abs/2002.09405 Our model can generate realistic simulations, and generalizes to much larger systems and longer trajectories than its training. w/ @spectralhippo @RexYing0923 @jure
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    Replying to @PeterWBattaglia
    We’ve released GraphCast's code and weights, so everyone can run it:
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    Excited to see our AI weather model #GraphCast published in @ScienceMagazine! GraphCast is fast & accurate: in 1 minute it generates a 10-day forecast that outperforms the top operational forecasts, including on extreme weather. @GoogleDeepMind’s blog:
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    We're hiring interns on the Structured Intelligence team at @DeepMind. If you're interested in richly structured data, representations and computations, eg., learning simulation, GNNs, probabilistic generative models, etc, please apply-
    Internship applications are now open! This year we have opportunities across various teams and offices 🌎🌍 Apply today via dpmd.ai/internships and learn more about the experience below ⬇️ #DeepMindInterns
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    If you're interested in working with us at @DeepMind, at the interface of machine learning, climate, and sustainability, please apply!
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    We’re looking for a Research Scientist on our Structured Intelligence team at DeepMind - especially with experience or interest in GNNs. See the link below to apply, or feel free to reach out to me directly. deepmind.com/careers/jobs/3…
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    Today we’re thrilled to announce that real-time and historical AI-based weather forecasts from @Google’s WeatherNext suite of models are now available on Earth Engine and BigQuery. Anyone can access and use these data for research, analysis and operational decision making, which
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    In new work led by Jonathan Godwin, Michael Schaarschmidt, et al, we show how very deep GNNs can be trained effectively using a simple noise/denoising scheme, and achieve top performance on several challenging molecular benchmarks: arxiv.org/abs/2106.07971
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    We're hiring a Research Scientist in AI for Sustainability @GoogleDeepMind (in Mountain View or Cambridge MA). Seeking experts in ML, environmental sustainability, weather, fluid dynamics, complex systems, combinatorial optimization, and/or remote sensing:
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    We're hiring interns on the Structured Intelligence team at @DeepMind. If you're interested in richly structured data, representations and computations, eg., graph neural networks, probabilistic generative models, model-based reasoning, etc, please apply: deepmind.com/careers/intern…
    ✨ Applications for internships are now open✨ Interning at DeepMind offers a unique opportunity to closely collaborate with our team & work on various projects that aim to advance science and benefit humanity. Interested? Learn more: dpmd.ai/internships
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    We're hiring a Research Engineer on the Structured Intelligence team at @DeepMind. If you have expertise in learning simulation, GNNs, generative models, or ML for the sciences, please apply here:
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    We're hiring a Research Engineer in AI for Sustainability @GoogleDeepMind (San Francisco / Mountain View). Seeking strong engineers at the interface of machine learning, environmental sustainability, weather, dynamical systems, and/or remote sensing:
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    We're hiring a Research Engineer on the Structured Intelligence team at @DeepMind. If you have expertise in learning simulation, GNNs, or ML for sustainability and science, please apply here:
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    Visual Interaction Networks: Can learn to predict 100s of future physical states from just a few frames of video. arxiv.org/abs/1706.01433