Our CEO Demis Hassabis envisions a future where AI could help cure diseases, revolutionize energy production, and solve some of humanity’s greatest challenges. 🌎 But he also stresses the importance of mitigating risks as we navigate this transformative technology. Catch up on his conversation with Professor Hannah Fry before more episodes are released ↓ https://dpmd.ai/3YUPgb9
Google DeepMind
Research Services
London, London 1,051,728 followers
We're committed to solving intelligence, to advance science and benefit humanity.
About us
We’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI). Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges. We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.
- Website
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https://www.deepmind.google
External link for Google DeepMind
- Industry
- Research Services
- Company size
- 501-1,000 employees
- Headquarters
- London, London
- Type
- Privately Held
- Founded
- 2010
- Specialties
- Artificial Intelligence and Machine Learning
Locations
Employees at Google DeepMind
Updates
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How could AI help inspire entirely new forms of creativity? 🎨 Join us on season 3 of our podcast as host Professor Hannah Fry and our Senior Research Director, Douglas Eck explore the intersection between art, technology and society, our latest generative models such as Veo, and much more. Listen now → https://dpmd.ai/3MazyRL
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What’s it like playing table tennis against an AI-powered robot? 🏓 Players across 4️⃣ different skill levels decided to take on our system. Across 29 games, the robot won 45% of them - as well as 46% of sets and 49% of points. This work shows how sport can provide a rich environment to test robotic capabilities. Find out more → https://dpmd.ai/4dDjK5V
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Could AGI help us peer into the mysteries of the universe? 🔭 Join us on the latest episode of the Google DeepMind Podcast as Demis Hassabis and Professor Hannah Fry discuss the potential for AGI to explore the quantum world, probe the Planck scale, and perhaps even discover wormholes. 🤯 Watch in full now → https://dpmd.ai/4dnK6Jm
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Google DeepMind reposted this
Staff Research Scientist at Google DeepMind | Affiliated Lecturer at University of Cambridge | Associate at Clare Hall | ELLIS Scholar in Geometric Deep Learning
Taking a moment after a totally positively crazy week in Novi Sad 🇷🇸 to reflect on EEML'24, the flagship AI summer school for the Eastern European region & beyond, which I've personally worked to bring to my home country for the first time ❤️ I tried my best to thoroughly engage with the school's content, from its opening (gave an introductory speech before the Prime Minister of Serbia), throughout its core content (delivered a tutorial on reasoning alongside Matko Bošnjak), all the way through broader outreach (organising EEML's Public Event alongside Milica Brkovic, Nemanja Rakicevic, Dubravko Culibrk, Bojana Ranković, Kristina Nikolić, Branislav Kisacanin and Bosiljka Tasic) and, foremost, the countless interactions and/or mentorship with our exceptional attendees, sponsors and guests. I will not lie, it was thoroughly exhausting. But I loved every single moment! It made me thoroughly proud to see all these amazing academics, students and professionals in AI choosing Serbia as their destination for the past week. EEML gathered participants from all corners of the world -- 47 countries, from Argentina and Costa Rica all the way to South Korea, Singapore and Australia -- while having over 50% of its participants be from our target region (EE). A few personal notes of thanks: Viorica Patraucean and Razvan Pascanu -- for putting their trust in my bid to bring EEML to Serbia; I hope we did not disappoint! Nemanja, Matko, Milica and Elvira -- for their extensive and often-short-notice efforts in making sure we have a smooth event from start to finish! Google DeepMind, Google, Bitdefender and UiPath -- for their highly generous Diamond-level sponsorship! Their support allowed us to cover all needs-based travel grants that our attendees requested. Alfredo Canziani, Sander Dieleman, Yee Whye Teh, Caglar Gulcehre, Chris Dyer, Michael Bronstein and Martin Vechev -- for kindly accepting to visit us in Serbia and share your pearls of wisdom with our attendees and local community. Andreea-Ioana Deac, Ognjen Milinkovic, Ioana Bica, Anastasija Ilic, Aishwarya Kamath, Iulia Duta and Vladimir Viktor Mirjanic -- for putting in a huge amount of effort in designing our tutorials, helping our participants solidify what they've learnt, in partnership with our amazing TAs (Aleksandar Vujinović, Alexandre Galashov, Anđela Mladenović, Andrei Manolache, Gorana Gojić, Hamza Merzic, Mandana Samiei, Marko Njegomir, Marko Knežević, Milica Škipina, Nebojsa Bozanic, Nikola Jovišić, Olga Kozlova, Sharon Lin, Teodor Szente, Tudor Berariu, Vladimir Radenkovic, Vladimir Vincan and Vukan Ninković). Dario Vajda, Dejan Lisica, Kristina Vajda, Krstan Keselj, Marko Milenković, Miona Lukić, Nikola Levakov, Ognjen Kundačina, Polina Maglevannaia, Uroš Drapšin and Zoran Stamenkovic -- last but certainly not least, our volunteer team, who were truly the bedrock of this event, always on-hand to help, be it with complicated logistics or co-forming a winning Estimathon team 🚀
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The new #Pixel9 is powered by Google Tensor G4: our most efficient chip yet. 🔲 It’ll be the first processor to run Gemini Nano with Multimodality - which can help your phone understand text, images, sound and spoken language. Find out more → https://dpmd.ai/3YJCaO2
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Meet Gemini Live: a new way to have more natural conversations with Gemini. 💬 💡 Brainstorm ideas ❓ Interrupt to ask questions ⏸️ Pause a chat and come back to it Now rolling out in English to Gemini Advanced subscribers on Android phones → dpmd.ai/46RToL9 #MadeByGoogle
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Starting 🔜: the new season of the Google DeepMind podcast ✨ Join Professor Hannah Fry as she talks to some of the brightest minds behind our cutting-edge research and breakthroughs - exploring topics like AI safety, human creativity and what comes next after AGI. You can watch full video episodes on our YouTube channel, or listen wherever you get your podcasts. Subscribe now to never miss an episode ↓ https://dpmd.ai/4dHRxLh
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Point, game, match. 🏓 We’re presenting the first AI-powered robot to achieve amateur human-level performance in table tennis. 🤖 Here’s how we built it: 🔵 The sport has served as a benchmark for robotics research since the 1980s. The system has to be good at low level skills, such as returning the ball, as well as high level skills, like strategizing and long-term planning to achieve a goal. 🔵 To train the robot, we gathered a dataset of initial table tennis ball states - which included information about position, speed, and spin. 🔵 The robot went up against 29 human opponents it had never played before across 4️⃣ different skill levels during our research - from beginner to advanced - with it scoring in the middle. This implies it can operate like an intermediate amateur. 🔵 While this work focuses on table tennis, it shows how robots can learn to perform complex tasks in the real world that require physical skill, perception as well as strategic decision-making. Find out more → https://dpmd.ai/4dE1J7v
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Congratulations to the first graduates from the AI for Science Master’s program at AIMS South Africa 🎓 Last year, we supported AIMS with funding to provide full scholarships, equipment and compute to students, giving them access to advanced studies in mathematics, AI and machine learning from world-class academics at AIMS South Africa. They also receive 1:1 mentoring and support from Google DeepMind researchers and engineers. In the future, they aim to tackle global challenges using AI - from food security to disease prevention - and we’re looking forward to seeing what they achieve next. 💡 Learn more about the program ↓ https://dpmd.ai/4d93mdv
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