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.
External link for Google DeepMind
Google DeepMind reposted this
Dexterity is not all about hands: Here's a glance of the precision and robustness of Google DeepMind's Gemini Robotics 2 on the FR3 Duo with grippers: 20 minutes of uninterrupted, real-time tool kitting. Notice the emergent recovery behaviours! Stay tuned for more 🙂
One brain. For any robot. 🤖 Meet Gemini Robotics 2: our next-generation AI model bringing intelligent whole body control, advanced dexterity, and multi-robot collaboration to embodiments of different shapes and sizes. Three new models drive this breakthrough: 1️⃣ Gemini Robotics 2: A vision, language, and action model controlling full humanoids from feet to fingertips. 2️⃣ ER 2: A reasoning agent built to plan complex, end-to-end tasks lasting several minutes. 3️⃣ On-Device 2: Runs locally and adapts to new robot bodies in just a few hours. Gemini Robotics 2 scales dexterity across different embodiments - from helping a five-fingered, 22-degree-of-freedom hand tie knots to performing high-precision kitting with two-fingered grippers. It even powers multi-robot teamwork so different machines can share the workload. Explore the models → https://goo.gle/4fIChAj
Google DeepMind reposted this
There is a lot of talk about how AI is transforming the way we work and live. If you strip away the noise, how are people actually using these tools right now? This week, Google published its first iteration of the AI & Economy ATLAS, an ongoing, large-scale study of how people are using Google’s AI products across 150 countries and 800 occupations. To make sense of this quickly moving landscape, the team used Google DeepMind’s Observation Clustering and Taxonomy Organisation (OCTO). OCTO allowed us to take massive, unstructured text data and distill it into clear, organised trends, all while applying the strictest privacy protections and removing sensitive information. While this is just a snapshot of a moment in time, here are a few things we're learning that challenge some common assumptions: - AI use at work is broad, but shallow: People are using AI selectively. In a typical job, AI is used for only about 21% of tasks. - It's a blue-collar tool, too: We are seeing industrial mechanics and tradespeople use conversational AI as a live collaborator to interpret complex test results or debug wiring. - The "life admin" assistant: A massive amount of AI use (over 86%) happens outside the office, helping people tackle household friction like researching purchases or licensing. Understanding how people actually interact with AI in the real world is one of the most critical steps in deploying it responsibly - and here we have possibly the world's most comprehensive study on AI and the economy. This is also just a starting point, things are evolving quickly and our aim is to share what we’re seeing with the world - take a look: https://lnkd.in/gxVCjPAp
Gemini 3.5 Flash Cyber is our specialized, lightweight model built to help security teams spot and patch vulnerabilities before they can be exploited. By combining speed and efficiency, 3.5 Flash Cyber lets defense specialists check significantly more code paths. In testing on our own codebases – including Google Chrome and Android – it consistently caught complex, unique vulnerabilities that standard models missed. To ensure this model is deployed responsibly, we’re starting with a limited-access pilot for governments and trusted partners. → https://goo.gle/4fw5COj
We’re expanding our work with the US Dept. of Energy on the Genesis Mission – an initiative to double the pace of scientific discovery within a decade. 🧪 By committing $40M in AI tokens and Google Cloud credits, more lab researchers will gain access to Gemini and other AI models. → https://goo.gle/4feVvyv
Google DeepMind reposted this
It’s been five years since the #AlphaFold Database made protein structure predictions free for everyone to use. This was only possible thanks to a close collaboration with Google DeepMind. Today, the database contains more than 260 million predicted protein structures, covering nearly all catalogued proteins known to science. Over 3.5 million researchers in 190 countries use the database to inform their research, to plan their next experiment, or to develop new hypotheses. Scientists around the world are using the database to help make a difference, from tackling antimicrobial resistance and developing disease-resistant crops to understanding heart disease and engineering plastic-eating enzymes.
We’re rolling out three new models to make AI agents faster, smarter, and cheaper at scale: 🔵 Gemini 3.6 Flash: It uses fewer tokens than 3.5 Flash to deliver higher quality work at the exact same cost. 🔵 Gemini 3.5 Flash-Lite: A fast, cost-effective option for everyday tasks like processing documents and agentic search. 🔵 Gemini 3.5 Flash Cyber: A cybersecurity model built to find and patch critical software vulnerabilities. Gemini 3.6 Flash and 3.5 Flash-Lite are rolling out now in the Gemini app. Developers can start building via the API in Google AI Studio and Android Studio. Gemini 3.5 Flash Cyber will be exclusively available via CodeMender soon as part of a limited-access pilot program.
Google DeepMind reposted this
We're announcing a major update to Weather Lab, our interactive website for sharing Google’s AI weather models from Google DeepMind and Google Research. Here's what's new: 🌎Global Weather Forecasts: Explore ensemble global forecasts from WeatherNext 2 and MetNet, including temperature, precipitation, wind speed, and sea level pressure. 📅Historical & Point forecasts: Click anywhere on the map to see a multi-day forecast for that location, and look back at past forecasts from up to 15 days ago. 🌀Cyclone tracking: You can now view cyclone tracks alongside weather forecasts. Access Weather Lab: https://lnkd.in/dhcHU2P5
Google DeepMind reposted this
Yesterday marked the first time we’ve brought ARIA Creators together with researchers from our Activation Partner Google DeepMind and Google Research for a dedicated day exploring how AI could accelerate scientific discovery. We started with small roundtables focused on gaps in researchers’ current toolkits, followed by rapid-fire talks spanning hypothesis generation, literature synthesis and computational discovery, through to genomics, robotics, Earth observation and weather forecasting. The afternoon closed with a candid conversation between leaders from ARIA and Google DeepMind about the opportunities — and difficult questions — at the intersection of AI and science. What made the day especially valuable was the exchange in both directions: researchers sharing what they need, and frontier lab teams opening up the tools, expertise and questions shaping their work. This was a first step that could help set a blueprint for how ambitious researchers and frontier labs work together: earlier, more openly and around real scientific challenges. Thank you to Google DeepMind and everyone who joined us, both in London and online.
The biosecurity landscape is rapidly evolving. To stay ahead of future disease outbreaks, we’re partnering with Isomorphic Labs to outline our approach to bioresilience. Here’s how we’re deploying frontier AI to build proactive defenses for global health → https://goo.gle/44uiOOL