Meet Gemini Robotics: our latest AI models designed for a new generation of helpful robots. 🤖 ⚡ Gemini Robotics is our most advanced vision-language-action model. It can take in text and images to output actions, interact with humans and adapt to changing environments. It can also perform complex tasks which require a lot of dexterity, such as: 📄 Folding origami 🥗 Packing a lunch box 🎲 Playing tic-tac-toe, and much more. 🦾 And it works across existing bi-arm robots like ALOHA 2 and Franka, as well as more complex applications like Apptronik's humanoid. ⚡ Gemini Robotics-ER brings advanced world understanding to robotics - enabling them to carry out tasks they haven't been trained on, using perception, spatial understanding, planning and more. We look forward to continuing developing these models, working with a broad range of trusted testers, to bring Gemini into the physical world. Find out more → goo.gle/Gemini-2-robotics
Google DeepMind
Research Services
London, London 1,175,739 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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We're making our AI-powered scientific models more accessible on Google Cloud. 🧬🌤️ Using the Cluster Toolkit, scientists can use #AlphaFold 3 for large experiments - meaning they can test thousands of possibilities more rapidly. Through the Vertex AI platform, businesses can customize and deploy WeatherNext models for energy prediction, logistics, agriculture, risk management, and more. Find out more → https://goo.gle/3G2o0QV
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You can now create it all with Google Cloud’s Vertex AI. 🎺🗣️🖼️🎬 It’s the only platform where users can generate media across video, image, speech, and music. Here’s how ↓ 🎥 Veo 2, our state-of-the-art video model allows people to generate videos, edit them, layer visual effect or even apply cinematic techniques. 🖼️ Imagen 3, our highest quality text-to-image model can create visuals with better detail, richer lighting, and comes with intuitive editing tools. 🎵 Lyria, our text-to-music AI model, can generate soundtracks, high-fidelity audio, and custom outputs in minutes. In #VertexAI, your creative possibilities - all from a simple text prompt - are endless. Find out more → https://goo.gle/4cw4rN6
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Your favorite personal AI research assistant just got smarter. 🧠 Deep Research on the Gemini app is now available to Advanced users on Gemini 2.5 Pro, our most intelligent model - making it even better at analyzing information to create insightful reports on almost any topic → https://goo.gle/3XNxMwk
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Coming April 10th - new episodes of Google DeepMind: The Podcast! ✨ Join host Professor Hannah Fry as she explores: 🧪 How AI-powered science could revolutionize medicine 🤖 Cutting edge robotics 🗺️ The limitations of human-generated data ↗️ And much more. Catch up on previous seasons of our podcast now and from April 10th, you can watch new episodes on our YouTube channel, or listen wherever you get your podcasts. Subscribe now → https://goo.gle/3R44xBA
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We’re launching Project Astra capabilities in Gemini Live ✨ Chat with the Gemini app about anything you see 👀 by sharing your phone’s camera or screen during conversations. Now available to Advanced users on Android devices, as well as on Pixel 9 and Samsung Galaxy S25 devices today. Find out more → https://goo.gle/42gozOf
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We've launched a new framework to evaluate emerging offensive cyber capabilities of AI. This will help experts proactively identify and prioritize necessary defenses - before risks can be exploited. Find out more ↓ https://goo.gle/3R03CC4
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When his son was diagnosed with a rare disease, Googler Thomas Wagner used Gemini to bridge the gap between complex research papers and the scientists leading the work. 🔬 🧠 He was able to better understand the science behind Alexander disease (AxD) by breaking down dense scientific works, genetic explanations, and medical articles into understandable terms. ➡️ This knowledge then helped him to see connections between different research areas and consider how they might apply to AxD. ❔He was able to come up with better questions for those working on treatments — and his efforts mean 11 research groups who hadn’t worked on AxD before are now beginning to do so. His story is a powerful reminder of why we work on AI. ↓
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AGI could revolutionize many fields - from healthcare to education - but it's crucial that it’s developed responsibly. Today, we’re sharing how we’re thinking about safety and security on the path to AGI. → https://goo.gle/4l9fAax
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Google DeepMind reposted this
Generative AI are systems that learn from existing data and use what they know to generate new content. From generating new hypotheses to accelerating discovery, it will undoubtedly shape research – and that includes the field of mental health. We want to find out if and how AI can be used in mental health. The first step is to understand how AI, clinicians and patients can collaborate in the most efficient, effective and safe ways. We’re doing so through a two-part funding activity that aims to improve measurement or treatment of anxiety, depression and psychosis. Successful applicants will first take part in a four-month accelerator delivered by MEXA. They can then apply for our funding call to receive up to £3 million for their research project – and access to resources and support from experts at Google Health and Google DeepMind. Find out more: https://lnkd.in/e7iBePX8