Ferran Alet
@FerranAlet
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Research Scientist @GoogleDeepMind: AI for Science & Sustainability PhD from @MIT_CSAIL BlueSky: https://t.co/yDhvxgMMHq
London, UK
Joined May 2011
Life update: Maria @BauzaVillalonga and I have graduated, moved to London and joined @DeepMind! We are looking forward to starting exciting research projects with fantastic teams.
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Excited to join a live Q&A tonight with Bryan Norcross to talk about our experimental AI cyclone model @GoogleDeepMind !
LIVE Q&A TODAY at 4 PM ET. I'll be joined by Senior Research Scientist at Google DeepMind Ferran Alet. We'll talk about the new amazing and surprising Google DeepMind AI hurricane model. We'll be LIVE on YouTube, Facebook, TikTok, X, Instagram, and LinkIn. Looking forward to
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SCIENCE! 🔬🌎 Can we take a moment to appreciate this fact: ✅ A powerful hurricane is spinning just 200mi offshore of Florida. ✅ And yet, we haven't had the least bit of concern, because science told us all along that #Erin would turn north. That is the power of meteorology,
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We're looking for people to join us to work on Gemini Diffusion and help revolutionize language modeling! Details below: https://t.co/c9KDxWT7PT
job-boards.greenhouse.io
Excited to share what my team has been working on lately - Gemini diffusion! We bring diffusion to language modeling, yielding more power and blazing speeds! 🚀🚀🚀 Gemini diffusion is especially strong at coding. In this example the model generates at 2000 tokens/sec,
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Accurate weather prediction is extremely important for keeping people safe, particularly when it comes to dangerous cyclones. Exciting to see this new initiative from @GoogleDeepMind & @GoogleResearch in partnership with @NWSNHC.
We’re using AI to improve cyclone prediction. 🌀 Introducing Weather Lab: a new interactive platform developed with @GoogleResearch, hosting our experimental AI weather model which can predict a cyclone’s track, intensity, size and structure. Here’s how it works. 🧵
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Excited to see this work out in public! This is based on our new model, FGN, described in our paper https://t.co/5Q3kVFP2F7 Check it out 🌀⛈️
We’re using AI to improve cyclone prediction. 🌀 Introducing Weather Lab: a new interactive platform developed with @GoogleResearch, hosting our experimental AI weather model which can predict a cyclone’s track, intensity, size and structure. Here’s how it works. 🧵
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Finally, we're announcing Weatherlab https://t.co/ph7DVjKvjf a public preview where we share the predictions from our AI models. Here you can see a live prediction of a cyclone in China, where our model in blue shows more confident predictions than a leading physics-based model.
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This season, forecasters at @NHC_Atlantic are going to see live predictions from our models, and we hope to enhance their predictions this cyclone season. Interacting with experts at NHC, Colorado State, and other agencies has been one of the most rewarding parts of the
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Excited to announce our new experimental cyclone model and a partnership with @NHC_Atlantic! Traditionally, it's been hard for a model to predict tracks & intensities: one requires a global view, the other very high resolution. Our AI model achieves strong performance on both.
We’re using AI to improve cyclone prediction. 🌀 Introducing Weather Lab: a new interactive platform developed with @GoogleResearch, hosting our experimental AI weather model which can predict a cyclone’s track, intensity, size and structure. Here’s how it works. 🧵
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In the 'Instant edit' tab of our demo, users can ask Gemini diffusion to edit some text with an instruction. This works similarly to images where the model is initialized with the text to be edited and then does some diffusion to satisfy the instruction. If the edits are small it
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Excited to share what my team has been working on lately - Gemini diffusion! We bring diffusion to language modeling, yielding more power and blazing speeds! 🚀🚀🚀 Gemini diffusion is especially strong at coding. In this example the model generates at 2000 tokens/sec,
We’ve developed Gemini Diffusion: our state-of-the-art text diffusion model. Instead of predicting text directly, it learns to generate outputs by refining noise, step-by-step. This helps it excel at coding and math, where it can iterate over solutions quickly. #GoogleIO
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Beautiful visualizations of optimization in high dimensions and why local minima became less of a concern as networks scaled: https://t.co/36Ew7f93tO IIRC this realization started around 2014-15, but the concern over local minima took multiple years to gradually fade away in the
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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:
job-boards.greenhouse.io
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+1! It's particularly valuable advice for PhD students: AI for Science&Sustainability offers great research topics. It's far less saturated than NLP or vision, doesn't require internet-scale pre-training, and discovering the right inductive biases gives you substantial leverage.
hot take - it's not all about language. Beyond chatbots, AI has a profound ability to model more complex - and mysterious - systems, from the human body and global weather to Earth in its entirety. I shared my views on the @TEDAIVienna stage:
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Making LLMs run efficiently can feel scary, but scaling isn’t magic, it’s math! We wanted to demystify the “systems view” of LLMs and wrote a little textbook called “How To Scale Your Model” which we’re releasing today. 1/n
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GraphCast and GenCast real-time weather predictions are now on Earth Engine and BigQuery. Looking forward to seeing what people do with them!
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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Excited to present GenCast, recently published in Nature, at #AMS2025 tomorrow at 8:45AM in Room 339! GenCast is a diffusion model that outperforms ENS, delivering skillful probabilistic forecasts up to 15 days ahead. Paper: https://t.co/O5DYEidLyF Talk details:
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Excited to present our new @Nature paper on probabilistic weather forecasting today @NeurIPSConf! I'll be at the DeepMind booth 1pm Vancouver time. I'll be at NeurIPS the whole week. If you're interested in AI for Science and sustainability, feel free to reach out for a chat!
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. 🧵 https://t.co/PWCNWbQnlU
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GenCast will be presented by Ferran Alet (@FerranAlet) at the Deep Learning Barcelona Symposium 2024 on December 19. #DLBCN Check the full program: https://t.co/Dtss4OQ3Q1
@meteocat @tomasmolina @meteorac1 @eltempsTV3 @btveltemps @MeteoMauri @meteo_garraf
sites.google.com
Deep Learning Barcelona Symposium 2024
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. 🧵 https://t.co/PWCNWbQnlU
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Happy to present our work on DemoStart! A sim-based solution for sim-to-real behavior generation capable of controling an 18 DoF arm + multi-fingered hand.🦾🤖🖐️ Blog: https://t.co/2eknblU0rc Website: https://t.co/rjvFQGMZVA Paper: https://t.co/JyBWqjcdg1
Introducing 2️⃣ new AI systems for robotics: 🤖 ALOHA Unleashed to perform two-armed manipulation tasks 🦾 DemoStart to control a multi-fingered robotic hand They learned to tackle a range of actions requiring dexterity. Here's how. 🧵 https://t.co/SV3TsXIhhh
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