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. ↓
Google DeepMind
Research Services
London, London 1,180,219 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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Our VP of Reinforcement Learning David Silver believes we must go “beyond what humans know” - moving towards systems that can learn for themselves, and even discover new scientific knowledge. 🧠 Listen in on his conversation with our podcast host Hannah Fry → https://goo.gle/42Gyoqb
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“He’s building tools that don’t just help us understand life, but help us shape it wisely.” We’re thrilled to see our CEO Demis Hassabis recognized as one of TIME's 100 Most Influential People in the world. 🌍 Find out why → https://lnkd.in/eiDwDQgV 📸 Photograph by David Vintiner for TIME
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You write the script, Veo 2 brings it to life. 🎥 In the Gemini app, Advanced users can begin trying our state-of-the-art video generation model. ✨ From fantasy worlds to realistic scenes, you can describe your vision in detail – characters, action, style – to create stunning 8-second clips in 720p cinematic quality. Find out more → https://goo.gle/4jjqgC8
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Introducing DolphinGemma, our latest AI model helping us dive deep into the world of dolphin communication. 🌊🐬 ↓ https://goo.gle/3Emekjx
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“Eventually, robots will be just another surface on which we interact with AI, like our phones or computers.” 🤖 We released a new family of multimodal models for robotics, Gemini Robotics. These build on Gemini 2.0, adding physical action to multimodal outputs like text, video and audio - empowering the next generation of robotics. Here’s how we built them. ↓ https://lnkd.in/dHGeH4dG
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Google DeepMind reposted this
For this week on Possible, we sat down with The Nobel Prize winner and Google DeepMind CEO Demis Hassabis to discuss why he thinks AI will be the “most transformative technology ever.” From the importance of games to human development, to his predictions on the next “move 37” — you won’t want to miss this episode: https://lnkd.in/dsD7KFDw
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Could AI learn to figure things out for itself – or even discover new scientific knowledge? 🧠 Join host Professor Hannah Fry and our VP of Reinforcement Learning David Silver as they explore exciting and sometimes surprising advancements in AI – questioning what machines can do, what they might discover beyond human knowledge, and how this could shape our future. Watch now ↓ https://goo.gle/3G21CqK
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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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