Scientists from 120 countries have now used #AlphaFold Server to complete more than 620,000 jobs - to help test multiple hypotheses, predict complex interactions between proteins and DNA, and more. 🔬 "AlphaFold Server is democratizing discovery research and opening up structural biology approaches to a broad audience," says Frank Uhlmann, Principal Group Leader, The Francis Crick Institute Laboratory. The Server launched alongside AlphaFold 3, our breakthrough AI model that can predict the structure and interactions of all of life’s molecules. We look forward to seeing this technology continue to help researchers with limited computing resources accelerate scientific progress - from developing healthier, more resilient crops to creating biorenewable materials. Find out more in Nature ↓ https://lnkd.in/e8quUesn
Google DeepMind
Research Services
London, London 993,437 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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A paper origami owl, a felt robot, a skater made of clay… here’s how Imagen 3 can generate visually rich images with complex textures. 👀 Join the waitlist to access it through ImageFX - part of a new suite of AI tools in Labs → https://dpmd.ai/3K9GGg4
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Google DeepMind reposted this
Turn your idea into a new alphabet with GenType and Imagen 2. 🔤 🎨 With one simple prompt, you can create a whole set of creative, customized letters. Try it today → labs.google/gentype
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Turn your idea into a new alphabet with GenType and Imagen 2. 🔤 🎨 With one simple prompt, you can create a whole set of creative, customized letters. Try it today → labs.google/gentype
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Google DeepMind reposted this
I was honored to speak at AI for Good Global Sunmit last Thursday about how AI can help us scale our efforts to monitor, mitigate and adapt to climate change. I shared a few concrete examples where AI already enhances human capabilities and accelerates complex modelling of decades-old problems. For example, AI is already changing weather modelling. Google DeepMind ’s model GraphCast can forecast weather of up to 10 days with unprecedented accuracy and speed, which can help predicting extreme weather to help us prepare earlier. Similarly, our OPF AI model predicts optimal power flows hundreds to thousands of times faster than traditional methods, potentially helping to simulate multiple demand peaks and supply lows that are inherent in new energy systems. With improved speed and precision we can advance our ability to make better decisions. Leveraging AI for climate action will require data that is better available and usable, and people who have both AI and climate science capabilities. Responsible collaboration across the ecosystem is needed to make this happen, with a consistent deployment of safety and responsibility practices. Thank you to International Telecommunication Union for inviting me to speak. You can watch my session linked in the comment below.
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The Gemini app is rolling out to the UK and countries across Europe - putting the power of AI into more people's hands. 🌍 ✍️ Get help writing thank you notes 🍜 Find inspiration for your next meal 🛞 Snap a photo of a flat tire - and ask how to change it And more. → https://dpmd.ai/4bOfsbe
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Our highest quality text-to-image model Imagen 3 can create more photorealistic visuals - including hands, fingers, faces and groups of people. 👐 Join the waitlist to access it through ImageFX - part of a new suite of AI tools in Labs at Google → https://dpmd.ai/3K9GGg4
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“We have entered an age where a single human mind cannot comprehend the data that we are gathering about the universe.” 🌌 On the latest episode of Andreessen Horowitz a16z podcast, our VP of Research for Science Pushmeet Kohli talks about how AI can help scientists, mathematicians and others discover new insights, process huge amounts of data and make breakthroughs in their fields. Listen now ↓ https://lnkd.in/daqntx4x
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What kind of videos can Veo generate from just a single image? 👀 Our model can create clips that follow the original visual’s style as well as instructions from a text prompt. Find out more → https://dpmd.ai/li-veo
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Google DeepMind reposted this
The final weeks of the football season are always nerve-wracking, so it's a nice change of pace to see the beautiful game inspiring innovation off the pitch. One of our recent projects explored how robots can emulate the dynamic skills we see in football players - turning, kicking, and the strategic pursuit of the ball. Leveraging our MuJoCo physics engine, we trained AI agents in basic football skills, progressing from simulations to real-world application with bipedal robots, each equipped with 20 actuated joints. To train them, we introduced targeted randomness and slight disturbances within the simulator to enable our agents to adapt to unpredictable real-world dynamics. The result? Our robots showcased agility and dynamism that surpassed traditional programming, mastering complex manoeuvres from goal-scoring to defending, as well as demonstrating a fundamental grasp of one-on-one gameplay. While a robot kickabout is good fun, this research is an important step toward training general robots rather than training them for specific tasks, helping bring us closer to our goal of safely integrating robots into our daily lives. Check out the video below: https://lnkd.in/gqEp76hk
Soccer-playing robots teach themselves to score
https://www.youtube.com/