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@GoogleResearch

Google Research

Google
@GoogleResearch
Impossible? Let’s see. From algorithms to neuroscience to AI, Google Research strives to progress science, advance society & improve billions of people’s lives.
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  • @GoogleResearch
    Google Research
    Google
    @GoogleResearch
    20h
    Introducing WeatherNext 3! Built by @GoogleDeepMind and @GoogleResearch, this is our most advanced & accurate AI weather model, and now includes real-time satellite data, hourly refreshes, higher resolution, precise precipitation forecasting, and clean energy variables. Read the
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  • @GoogleResearch
    Google Research
    Google
    @GoogleResearch
    21h
    Today on the blog, we evaluate ways to improve cross-population genetic risk prediction. While transfer learning from European cohorts improves prediction in small populations, it degrades accuracy as target cohort sample sizes grow. Learn more: goo.gle/4zR9XFf
    PRS performance in BBJ samples as a function of BBJ and UKB sample sizes for traits with unique genetic architectures across populations: Unlike conserved traits, these more population-specific phenotypes exhibit early crossing points.
    7
  • @GoogleResearch
    Google Research
    Google
    @GoogleResearch
    22h
    Introducing a complete map of the male fruit fly brain and central nervous system, created in partnership with @HHMIJanelia. With over 166,000 neurons, this is the largest cellular brain map to date. Learn more: goo.gle/4qQTtIW
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    90
  • @GoogleResearch
    Google Research
    Google
    @GoogleResearch
    Sep 1
    Methane is a potent greenhouse gas driving approximately 25% of human-induced warming. MAPL-EMIT is a deep-learning model that automates global methane tracking from space to enable scalable climate action. Read the full post and check out the dataset: goo.gle/4h4rNgr
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  • @GoogleResearch
    Google Research
    Google
    @GoogleResearch
    Aug 31
    Introducing TimesFM-3, a state-of-the-art time series foundation model that enables accurate multivariate time series forecasting in a single forward pass, significantly outperforming other forecasting models across major benchmarks. More on the blog →goo.gle/4x5WGpD
    TimesFM-3 architecture.
    178
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