Pushmeet Kohli
@pushmeet
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Computer Scientist, VP Research, Leading Science @ Google DeepMind.
London, England
Joined May 2009
Really proud of Demis, John and the AlphaFold team - many of whom have dedicated a big part of their lives developing the numerous technical breakthroughs that were needed to make AlphaFold a reality. It has been an absolute honour and privilege to have been part of this team.
“Congratulations to John, the #AlphaFold team, and everyone at DeepMind & Google that supported us along the way - it’s an amazing award for all of us! It’s such an honour and privilege to work with all of you to advance the frontiers of science.” - @DemisHassabis Find out more about the Nobel Prize and AlphaFold’s impact →
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Was great to collaborate with Marshall, Chiara and Paolo on this Harvard Business Review article that outlines steps for organizations to identify the right problems to address with AI and Google DeepMind's 'root node' approach. Read the full article at:
Can AI solve your problem? If not, what could you do to improve your chances? New article in @HarvardBiz shows how. HT to Chiara Farronato, @cervini_paolo, and @pushmeet regarding @GoogleDeepMind
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Gemini 2.0 marks the start of a new generation of general models that not only have better performance but have also developed further on key cognitive competencies important for agentic behavior such as multimodality and tool use that will unlock powerful new applications.
Thrilled to kick off the Gemini 2.0 era with Gemini 2.0 Flash, an update to our workhorse model that outperforms even 1.5 Pro at twice the speed. It has really great multilingual skills, and can natively call tools, like Google Search. It’s the first release in the Gemini 2.0 family of models, with more to come soon. This is really just the beginning. 2025 will be the year of AI agents and Gemini 2.0 will be the generation of models that underpin our agent-based work. We’re sharing a set of prototypes made possible by 2.0 Flash’s new capabilities: including an update to Project Astra, our vision for a universal AI assistant; the new Project Mariner, which explores the future of human-agent interaction, starting with your browser; and Jules, an AI-powered code agent that can help developers. We’re also sharing a few other easter eggs, like: agents that help you navigate video games, which builds on our rich heritage of games breakthroughs in AI, and agents for robotics.
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RT @GoogleDeepMind: Starting 🔜 the @NobelPrize lectures featuring our laureates - CEO @DemisHassabis and Research Director John Jumper - wh…
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@OriolVinyalsML @NeurIPSConf @ilyasut @quocleix Well deserved! Many Congratulations @OriolVinyalsML @quocleix and @ilyasut.
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It shares insights on the opportunities for AI in science, the challenges and risks that need to be considered, and ends with new public policy ideas. Read here =>
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It was a pleasure to be part of @GoogleDeepMind’s first-ever AI for Science Forum. A highlight was joining this panel with @EricTopol, Alison Noble & Fiona Marshall to discuss our vision for the future of science & AI, including the issues AI can help solve to benefit humanity.
How can AI revolutionize the scientific method to bring in a new age of discovery? @EricTopol chaired a fascinating discussion with our VP Science, @Pushmeet and leading biomedical researchers @AlisonNoble_OU (Vice President, Royal Society) and @FionaHMarshall (President of Biomedical Research, Novartis) to discuss this and more. Watch the full panel now ↓
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This was a result of a long term collaboration between researchers in Google DeepMind and our colleagues in Google's Quantum team. The technical paper can be found at:
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A really good article by @DemisHassabis and James Manyika articulating why AI can be such a powerful tool to accelerate scientific discovery.
In @FortuneMagazine, our CEO @DemisHassabis and @Google SVP Research, James Manyika, share why they believe AI has the potential to be a transformative tool for scientific discovery - helping us answer some of the most fundamental questions about the universe. ↓
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