So excited to share our new @Nature paper on GenCast, an ML-based probabilistic weather forecasting model: nature.com/articles/s4158… It represents a substantial step forward in how we predict weather and assess the risk of extreme events. 🌪️🧵
Today in @Nature, we’re presenting GenCast: our new AI weather model which gives us the probabilities of different weather conditions up to 15 days ahead with state-of-the-art accuracy. ☁️⚡ Here’s how the technology works. 🧵goo.gle/49trAOv
We rely on accurate weather predictions for critical decisions - from supply chains to energy grids to crop planning. AI is transforming how we forecast weather. Thrilled to share WeatherNext 2 - our latest work in groundbreaking forecasting technology! Learn more:…
Technological innovation can be a form of participation in the divine act of creation. It carries an ethical and spiritual weight, for every design choice expresses a vision of humanity. The Church therefore calls all builders of #AI to cultivate moral discernment as a…
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…
DeepSensor 0.4 brings improved support for environmental forecasting and non-Gaussian likelihoods ⚡️🌪️ This is a great way to rapidly build on recent advances in ConvNP weather prediction (eg Aardvark Weather). Colab demo: colab.research.google.com/drive/1q1n7RGx… Docs: alan-turing-institute.github.io/deepsensor/
I’m *finally* publicly announcing my PhD thesis! It’s been over two years, but here it is: arxiv.org/abs/2408.09583 github.com/wesselb/phd-th… Since it’s been so long, this gives me an opportunity to look back and reflect. Some commentary below. 🧵 1/8
I'm incredibly proud to share NeuralGCM, our new AI and physics based approach to weather and climate modeling with state-of-the-art accuracy, published today in @Nature: nature.com/articles/s4158…
So proud of my GDM colleagues who won the MacRobert Award for their work on GraphCast! 🥳🥳🥳 GraphCast is an excellent example of open-source AI research and engineering applied to a problem that affects billions of lives. Find out more: macrobertaward.raeng.org.uk
We won the MacRobert award by the Royal Academy of Engineering for our GraphCast work on AI for weather prediction! I'm proud to be part of this team and very excited about what's to come in AI for Science&Sustainability!
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: boards.greenhouse.io/deepmind/jobs/…
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