Olaf Ronneberger
@ORonneberger
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Research scientist at @DeepMind, London, and adjunct professor for computer science at University of Freiburg, Germany.
London, England
Joined November 2018
Woohoo! We got the Nobel Price for Alphafold!
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.”
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Welcome to the world, Gemini 2.0 ✨ our most capable AI model yet. We're first releasing an experimental version of 2.0 Flash ⚡ It has better performance, new multimodal output, @Google tool use - and paves the way for new agentic experiences. 🧵 https://t.co/ywY2oZv76p
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🥇Amazing year of progress 🎉! It was such a blast to get to train this model with such an incredible team ❤️! Try the model for free here:
Big news on Chatbot Arena 🔥 The new @GoogleDeepMind model gemini-exp-1206 is crushing it, and the race is heating up. Google is back in the #1 spot 🏆overall and tied with O1 for the top coding model! Highlights (improvement since gemini-exp-1121 in parentheses) - First
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My team at Deepmind (protein design) is hiring an experimentalist with enzyme expertise. Please RT and/or apply! I'm happy to answer any questions as well.
job-boards.greenhouse.io
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The #AlphaFold 3 model code and weights are now available for academic use. We @GoogleDeepMind are excited to see how the research community continues to use AlphaFold to address open questions in biology and new lines of research. https://t.co/kVB9hWJZTI
github.com
AlphaFold 3 inference pipeline. Contribute to google-deepmind/alphafold3 development by creating an account on GitHub.
We love the excitement & results from the community on AlphaFold 3 and are doubling the AF Server daily job limit to 20. Happy to also share that we're working on releasing the AF3 model (incl weights) for academic use, which doesn’t depend on our research infra, within 6 months.
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After the news was announced, John and Demis reunited with their teams in London. A snapshot of what they had to say ↓
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What a moment! John was not in the office, and we expected to see someone else getting the Nobel price!!
Here’s the moment some of the #AlphaFold team found out @DemisHassabis and John Jumper were co-awarded the Nobel Prize.🥇 ↓
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Never seen a competitive leaderboard that I didn't like 😀 Congrats to the Gemini team on ranking no.1 🏆 with our latest improved Gemini 1.5 Pro developer preview model, which you can try on AI studio now!
Exciting News from Chatbot Arena! @GoogleDeepMind's new Gemini 1.5 Pro (Experimental 0801) has been tested in Arena for the past week, gathering over 12K community votes. For the first time, Google Gemini has claimed the #1 spot, surpassing GPT-4o/Claude-3.5 with an impressive
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Our experimental version of Gemini 1.5 Pro in AI Studio debuted at #1 on the LMSys leaderboard. 1300 ELO, nice round number 🔥 With the Gemini team, we are focused on both improving our models by iterating and finessing our recipe (deep learning FTW!), and also on massive bets
Exciting News from Chatbot Arena! @GoogleDeepMind's new Gemini 1.5 Pro (Experimental 0801) has been tested in Arena for the past week, gathering over 12K community votes. For the first time, Google Gemini has claimed the #1 spot, surpassing GPT-4o/Claude-3.5 with an impressive
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We had a lot of catch up to do, but we've done it. Amazing work from the team!
Exciting News from Chatbot Arena! @GoogleDeepMind's new Gemini 1.5 Pro (Experimental 0801) has been tested in Arena for the past week, gathering over 12K community votes. For the first time, Google Gemini has claimed the #1 spot, surpassing GPT-4o/Claude-3.5 with an impressive
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Gemini and I also got a chance to watch the @OpenAI live announcement of gpt4o, using Project Astra! Congrats to the OpenAI team, super impressive work!
It's such an honor to work on Project Astra with such an amazing team from across Gemini and Google DeepMind! While the #GoogleIO keynote was happening we had a last minute idea of watching the keynote with Project Astra. Check it out!
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We're working on releasing the AlphaFold3 model (incl weights) for academic use within 6 months!
We love the excitement & results from the community on AlphaFold 3 and are doubling the AF Server daily job limit to 20. Happy to also share that we're working on releasing the AF3 model (incl weights) for academic use, which doesn’t depend on our research infra, within 6 months.
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AlphaFold Server will allow scientists to generate molecular complexes with just a few clicks! This will dramatically accelerate progress. #AlphaFold 3
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Thrilled to announce AlphaFold 3 which can predict the structures and interactions of nearly all of life’s molecules with state-of-the-art accuracy including proteins, DNA and RNA. Biology is a complex dynamical system so modeling interactions is crucial https://t.co/Gs4GoOB3fD
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Proud to have AlphaFold 3 out! Check out the paper and try the model at https://t.co/uM5VelnKUT 😎
Announcing AlphaFold 3: our state-of-the-art AI model for predicting the structure and interactions of all life’s molecules. 🧬 Here’s how we built it with @IsomorphicLabs and what it means for biology. 🧵 https://t.co/K7uxMxdNr8
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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: https://t.co/F4qSUELVLA 1/
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We just released AlphaFold 3! All details are in the paper and you can use it on our server!
Announcing AlphaFold 3: our state-of-the-art AI model for predicting the structure and interactions of all life’s molecules. 🧬 Here’s how we built it with @IsomorphicLabs and what it means for biology. 🧵 https://t.co/K7uxMxdNr8
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Very proud of the teams across @IsomorphicLabs and @GoogleDeepMind for all the amazing research and work that has gone into this. Read more: AF3 blog https://t.co/F4qSUELVLA AF3 for Drug Design https://t.co/6mZ8eXXkdX Nature paper
isomorphiclabs.com
We are reimagining the entire drug discovery process from first principles with an AI-first approach.
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