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Extracting…DeepMind
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Introducing multi-robot collaboration. This enables different types of robots to communicate and work together to solve complex workflows a single robot could not do alone. Learn more about Gemini Robotics 2: https://deepmind.google/gemini-robotics ___ Subscribe to our...
Introducing multi-robot collaboration. This enables different types of robots to communicate and work together to solve complex workflows a single robot could not do alone. Learn more about Gemini Robotics 2: https://deepmind.google/gemini-robotics ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://twitter.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/ -
The world is built for human movements; it requires us to reach, bend, and balance in tight, cluttered spaces. While our previous models controlled the humanoid’s upper-body to achieve table-top tasks, Gemini Robotics 2 expands physical AI into whole-body motions. Learn more...
The world is built for human movements; it requires us to reach, bend, and balance in tight, cluttered spaces. While our previous models controlled the humanoid’s upper-body to achieve table-top tasks, Gemini Robotics 2 expands physical AI into whole-body motions. Learn more about Gemini for Robotics 2: https://deepmind.google/gemini-robotics ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://twitter.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/ -
To be genuinely useful in our homes and workplaces, robots need finesse. Gemini Robotics 2 unlocks a new level of physical dexterity across different end effectors, whether a robot is using hands or grippers, enabling robots to be more useful than ever before. Learn more...
To be genuinely useful in our homes and workplaces, robots need finesse. Gemini Robotics 2 unlocks a new level of physical dexterity across different end effectors, whether a robot is using hands or grippers, enabling robots to be more useful than ever before. Learn more about Gemini Robotics 2: https://deepmind.google/gemini-robotics ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://twitter.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/ -
The world is built for human movements; it requires us to reach, bend, and balance in tight, cluttered spaces. While our previous models controlled the humanoid’s upper-body to achieve table-top tasks, Gemini Robotics 2 expands physical AI into whole-body motions. Learn more...
The world is built for human movements; it requires us to reach, bend, and balance in tight, cluttered spaces. While our previous models controlled the humanoid’s upper-body to achieve table-top tasks, Gemini Robotics 2 expands physical AI into whole-body motions. Learn more about Gemini for Robotics 2: https://deepmind.google/gemini-robotics ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://twitter.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/ -
Multi-robot collaboration enables different types of robots to communicate and work together to solve complex problems. Learn more about Gemini for Robotics 2: https://deepmind.google/gemini-robotics ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us...
Multi-robot collaboration enables different types of robots to communicate and work together to solve complex problems. Learn more about Gemini for Robotics 2: https://deepmind.google/gemini-robotics ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://twitter.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/ -
To be genuinely useful in our homes and workplaces, robots need finesse. Gemini Robotics 2 unlocks a new level of physical dexterity across different end effectors, whether a robot is using hands or grippers, enabling robots to be more useful than ever before. Learn more:...
To be genuinely useful in our homes and workplaces, robots need finesse. Gemini Robotics 2 unlocks a new level of physical dexterity across different end effectors, whether a robot is using hands or grippers, enabling robots to be more useful than ever before. Learn more: https://deepmind.google/gemini-robotics ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://twitter.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/ -
For decades, we’ve dreamed of robots that can seamlessly step into our world and lend a hand. Now, that vision takes a significant stride forward. Most robots are pre-programmed or teleoperated for narrow, repetitive task sequences. They lack the ability to truly learn for...
For decades, we’ve dreamed of robots that can seamlessly step into our world and lend a hand. Now, that vision takes a significant stride forward. Most robots are pre-programmed or teleoperated for narrow, repetitive task sequences. They lack the ability to truly learn for themselves or adapt to unpredictable environments. Moreover, transferring learned skills from one robot body to another remains incredibly difficult. To take on the hardest problems at scale, robots of every shape and size need AI models giving them the ability to think, act, and interact intelligently to safely complete tasks. Introducing Gemini Robotics 2 - the intelligence layer powering the next generation of truly adaptable robots. As it takes its first literal steps, this major advance unlocks intelligent whole-body control, advanced dexterity, and multi-robot collaboration. Learn more: https://deepmind.google/gemini-robotics ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://twitter.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/ -
On August 2, 1959, Pelé scored the most beautiful goal of his career: three consecutive “sombreros” without the ball touching the ground. Yet, the legendary ‘Gol da Rua Javari’ was never caught on film. We worked alongside historians, sports journalists, football legends, and...
On August 2, 1959, Pelé scored the most beautiful goal of his career: three consecutive “sombreros” without the ball touching the ground. Yet, the legendary ‘Gol da Rua Javari’ was never caught on film. We worked alongside historians, sports journalists, football legends, and Pelé’s family to reconstruct this lost moment and share it with the world. This project was created in full partnership with the Pelé Brand, the official managers of the Pelé estate. Rooted in education and cultural preservation, the project heads to the Pelé Museum this year. To achieve this, teams from Google DeepMind used models like Gemini Omni and Veo to transform historical fragments into moving imagery, filmed on the original pitch with authentic uniforms and a vintage ball. By making the memory of this goal more accessible, it stands as a tribute to inspire a new generation of fans during the first World Cup without him. The goal is on display at the Museu Pelé in Santos, Brazil. Learn more at https://blog.google/innovation-and-ai/models-and-research/google-deepmind/pele-lost-goal-reconstructed ___ No dia 2 de agosto de 1959, Pelé marcou o gol mais bonito da sua carreira: três chapéus consecutivos, sem deixar a bola tocar no chão. No entanto, o famoso “Gol da Rua Javari” nunca foi filmado. Em um trabalho em conjunto com historiadores, jornalistas esportivos, lendas do futebol e familiares do Pelé, reconstruímos esse momento antológico do futebol para o mundo todo ver. Esse projeto foi criado em parceria com a marca Pelé, administradores oficiais do espólio do Rei Pelé. Com foco em educação e preservação cultural, o projeto segue para o Museu Pelé este ano. Para conseguir isso, equipes do Google DeepMind usaram modelos de IA como Gemini Omni e Veo, para transformar fragmentos históricos em filmes, usando filmagens no campo original com uniformes e bola da época. Tornar a memória desse gol acessível, é uma forma de homenagem, para inspirar as novas gerações de fãs de futebol, na primeira Copa do Mundo sem o Rei Pelé. O “Gol da Rua Javari” está em exibição no Museu Pelé, em Santos. Special thanks to: Flávia Kurtz, Walter Dias, Pepe, Neymar Jr., Marta, Mauro Beting, Vicente Romano Netto, Angelo Agarelli, Anita Lucchesi, Paulo Monteiro, Santos F.C., C.A. Juventus, NY Cosmos, Museu Pelé, Museu do Futebol Research: Arka Lead Researcher, Historian: Anita Lucchesi Production: The Youth Directors: Youth + Yuca NY & SF Production: Feast AI Production: Special Guest X Editor: Bruno Lasevicius Post Production: Colossal Post Music and Sound: Satelite Music: “Magalenha” Performed by Sérgio Mendes Written by Carlinhos Brown Courtesy of Warner-Tamerlane Publishing Corp. (BMI) c/o Warner Chappell Music, Inc. and Concord Records, a Concord Label Group Release “Paraquedas” Written by Russo Passapusso Universal Mus. Publishing MGB Brasil Ltda. obo Máquina de Louco Ed. Mus. Ltda. ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://x.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/ -
What if you were to peer inside the ‘mind’ of AI? You wouldn't find fully formed thoughts, just vast arrays of numbers. In this episode, Professor Hannah Fry is joined by Neel Nanda, to shine a light on an ongoing open area of research, interpretability. Neel and his team are...
What if you were to peer inside the ‘mind’ of AI? You wouldn't find fully formed thoughts, just vast arrays of numbers. In this episode, Professor Hannah Fry is joined by Neel Nanda, to shine a light on an ongoing open area of research, interpretability. Neel and his team are trying to do something phenomenally difficult: understand an intelligence that didn't come with a manual. Together, they explore the cutting-edge "neuroscience" of artificial intelligence—revealing the surprising, elegant structures being discovered inside these networks (like spare auto encoders), the inherent limits of looking under the hood, and why interpretability is absolutely essential if we are to build safe, aligned and trustworthy AI as we move towards AGI. Learn more about this area of research via https://deepmind.google/ 00:00 Introduction 02:41 Motivation for interpretability research 04:01 Mechanistic interpretability 08:14 Chain of thought monitoring 18:14 Interpretability techniques 35:00 Auditing models for safety 48:53 What comes next for interpretability Intro visuals from Winston Duke for Visualising AI: https://winstonduke.com/Google-Deepmind-Visualising-AI ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://x.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/ -
The conversation of the moment is focused on one topic: AI agents. Unlike traditional language models that simply respond to a prompt, autonomous agents can execute multi-step plans and perform complex tasks on your behalf. But what happens when millions of these agents are...
The conversation of the moment is focused on one topic: AI agents. Unlike traditional language models that simply respond to a prompt, autonomous agents can execute multi-step plans and perform complex tasks on your behalf. But what happens when millions of these agents are not just working for us, but transacting, negotiating, and delegating to one another? Nenad Tomašev, Senior Staff Research Scientist at Google DeepMind, joins host Hannah Fry to discuss the theoretical framework of a future"agentic economy." Together, they discuss the operational shift from single systems to a cooperative "society of specialists," the psychological risk of human automation bias, and the complex cybersecurity landscape—from dynamic cloaking to agentic traps—required to keep distributed intelligence secure. Timecodes: 00:00 Intro 1:07 Defining AI agents 4:44 Agentic exploration in science and research 15:46 Delegation between agents 22:46 Agentic security and traps 29:31 Building an agentic economy 33:22 Cognitive monoculture 36:29 Distributed intelligence To read the research, search for: Distributional AGI Safety, May 2026 Intelligent AI Delegation, February 2026 Virtual Agent Economies, September 2025 Learn more about our AGI control roadmap: https://deepmind.google/blog/securing-the-future-of-ai-agents/ ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://x.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/ -
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In an era of information overload, the search for transformative scientific ideas has become a significant bottleneck for progress. Every great scientific breakthrough begins with a single, transformative idea. The spark of discovery relies on a researcher's ability to...
In an era of information overload, the search for transformative scientific ideas has become a significant bottleneck for progress. Every great scientific breakthrough begins with a single, transformative idea. The spark of discovery relies on a researcher's ability to connect disparate facts and formulate the right hypothesis to test. We believe AI can help dramatically accelerate the pace of breakthroughs by serving as a dedicated partner in the generation and refinement of breakthrough scientific hypotheses. That’s why we’ve developed Co-Scientist, a Gemini-based multi-agent AI system that iteratively generates, debates, and evolves novel hypotheses for complex scientific problems. Read the Nature paper: https://www.nature.com/articles/s41586-026-10644-y and learn more at labs.google/science #googleio #ai #science ____ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://x.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/ -
Globally recognized as a silent pandemic, antimicrobial resistance continues to rise as bacteria outpace the development of new antibiotics. When patients stop responding to standard treatments, routine infections can quickly become life-threatening. At the University of...
Globally recognized as a silent pandemic, antimicrobial resistance continues to rise as bacteria outpace the development of new antibiotics. When patients stop responding to standard treatments, routine infections can quickly become life-threatening. At the University of Cambridge, Ben Luisi and his team are combining structural biology with advanced AI tools like AlphaFold, Gemini, and Co-Scientist to decode these hidden defense mechanisms. By compressing a process that once took years into just minutes, they are uncovering the critical insights needed to outsmart bacterial evolution. Learn more about science at Google DeepMind: https://deepmind.google/science/ #googleio #ai #science ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://x.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/ -
In Uganda, the incidence of early-onset breast cancer is growing at an alarming rate. Dr. Daudi Jjingo and his team at Makerere University are working to identify genetic targets for potential vaccine development. By utilizing tools like AlphaFold, AlphaGenome, and...
In Uganda, the incidence of early-onset breast cancer is growing at an alarming rate. Dr. Daudi Jjingo and his team at Makerere University are working to identify genetic targets for potential vaccine development. By utilizing tools like AlphaFold, AlphaGenome, and Antigravity, they can conduct this research using only a laptop and a server, enabling seamless collaboration with local hospitals and institutions. By analyzing a protein highly expressed among breast cancer patients, the team successfully evaluated 15,000 potential binding sites, narrowing the scope to just 15 viable targets for laboratory validation. While a vaccine remains a future milestone, their work represents a critical step forward for global oncology and public health. Learn more about science at Google DeepMind: https://deepmind.google/science/ #googleio #ai #science ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://x.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/ -
Tropical storms and hurricanes are notoriously volatile, changing structure and intensity in a matter of hours. This unpredictability makes them some of the most challenging weather systems to forecast—putting lives and livelihoods at risk. WeatherNext, our global weather...
Tropical storms and hurricanes are notoriously volatile, changing structure and intensity in a matter of hours. This unpredictability makes them some of the most challenging weather systems to forecast—putting lives and livelihoods at risk. WeatherNext, our global weather forecasting AI model, successfully predicted the intensity and track of Hurricane Melissa in October 2025. By providing high-confidence signals and advanced notices days before the Category 5 storm made landfall in Jamaica, WeatherNext enabled meteorologists and local authorities to issue life-saving evacuation warnings and protect vulnerable communities. Read more about the role of AI in meteorology and how we're collaborating with institutions like the National Hurricane Center to build a more weather-resilient world: https://deepmind.google/blog/how-weathernext-helped-the-national-hurricane-center-better-predict-hurricane-melissas-historic-landfall-in-jamaica #googleio #ai #science ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://x.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/ -
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The mouse pointer 🖱️ has been a constant companion on computer screens, across every website, document and workflow. Despite how technologies have changed, the pointer has barely evolved in more than half a century. We’ve been exploring new AI-powered capabilities and ways of...
The mouse pointer 🖱️ has been a constant companion on computer screens, across every website, document and workflow. Despite how technologies have changed, the pointer has barely evolved in more than half a century. We’ve been exploring new AI-powered capabilities and ways of working to help the pointer not only understand what it’s pointing at, but also why it matters. See how to try it out @ https://deepmind.google/blog/ai-pointer ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://twitter.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/ -
Gemma 4 is our newest family of open models. You can now run advanced reasoning, native vision and audio, and agentic tool-use on anything from high-end workstations to mobile phones. Learn more → https://deepmind.google/models/gemma/gemma-4/
Gemma 4 is our newest family of open models. You can now run advanced reasoning, native vision and audio, and agentic tool-use on anything from high-end workstations to mobile phones. Learn more → https://deepmind.google/models/gemma/gemma-4/ -
AI is shaping the world young people are growing up in. But how do teachers confidently introduce AI and machine learning in the classroom? Experience AI is a free educational program from Google DeepMind and the Raspberry Pi Foundation that helps teachers introduce...
AI is shaping the world young people are growing up in. But how do teachers confidently introduce AI and machine learning in the classroom? Experience AI is a free educational program from Google DeepMind and the Raspberry Pi Foundation that helps teachers introduce school-aged students to AI and machine learning. The program uses research-backed pedagogies to empower teachers to cover foundational AI and responsible, ethical use with their students—supporting learning even for educators without a computer science background. Experience AI provides free lessons, videos, worksheets, and training, designed to give young people the knowledge they need to understand how AI works and how it is changing the world. To date, it has been delivered by educators in over 165+ countries, expanding access to essential AI learning for students worldwide. Find the lessons @ experience-ai.org ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://twitter.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/ -
Last month, we introduced Lyria 3, featuring custom music generation designed to spark creative expression. Now, we’re bringing our most advanced music generation model to more Google products, and introducing Lyria 3 Pro. This advanced version allows the creation of tracks...
Last month, we introduced Lyria 3, featuring custom music generation designed to spark creative expression. Now, we’re bringing our most advanced music generation model to more Google products, and introducing Lyria 3 Pro. This advanced version allows the creation of tracks up to 3 minutes long, with customization and creative control. Learn more: https://blog.google/innovation-and-ai/technology/ai/lyria-3-pro ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://twitter.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/ -
Seoul, March 2016. Two players sit hunched over a 19x19 grid covered in a sea of black and white stones. They are playing the ancient game of Go - a game of unimaginable complexity long thought impossible for a machine to master. On one side is Lee Sedol (Sae Dol), a...
Seoul, March 2016. Two players sit hunched over a 19x19 grid covered in a sea of black and white stones. They are playing the ancient game of Go - a game of unimaginable complexity long thought impossible for a machine to master. On one side is Lee Sedol (Sae Dol), a legendary 18-time Go world champion. On the other, AlphaGo, a neural network based AI system built on a powerful technique called reinforcement learning. In the blink of an eye, the world changed. Exactly one decade later, we look back at the match that sparked the modern AI revolution. From algorithmic discovery to the solving of scientific grand challenges like protein folding, the foundation was laid right there on that wooden board. Join Hannah Fry, Pushmeet Kohli (VP, Science) and Thore Graepel (AlphaGo team & Distinguished Research Scientist) as they unpick the legacy of AlphaGo. Further watching: 🎥AlphaGo https://youtu.be/WXuK6gekU1Y 🎥The Thinking Game: https://youtu.be/d95J8yzvjbQ ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://twitter.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/ -
Legendary producer Wyclef Jean joins forces with Music AI Sandbox to explore the next era of creative expression. Discover how Wyclef uses these experimental tools to push the boundaries of music production, using AI as a powerful new instrument for curation and sound design....
Legendary producer Wyclef Jean joins forces with Music AI Sandbox to explore the next era of creative expression. Discover how Wyclef uses these experimental tools to push the boundaries of music production, using AI as a powerful new instrument for curation and sound design. Watch "Back From Abu Dhabi" Here: https://www.youtube.com/watch?v=NDzKzZhyXHo Learn more: https://deepmind.google/lyria/ ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://twitter.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/ - End of feed