Introducing AlphaProteo: an AI system for designing novel proteins that bind more successfully to target molecules. 🧬 This research could help deepen our understanding of fundamental biology. Here’s how: 🔵 Protein binders are essential tools in drug development and biotech. They’ve already demonstrated potential in binding cancer cells, blocking viral infections and more. 🔵 AlphaProteo managed to generate candidates with strong binding to 7️⃣ diverse proteins related to infection, cancer, inflammation, and autoimmune disease. 🔵 AI for protein design has great potential - but more work is needed. We’re improving AlphaProteo’s success rate and will continue working with scientists to develop a responsible offering for the community. Find out more ↓https://dpmd.ai/4geFM0L
Google DeepMind
Research Services
London, London 1,076,600 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
-
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
-
🐐🎮 Could playing Goat Simulator 3 help us develop better AI? Tune in to the latest episode of our podcast where Research Engineering Team Lead Frederic Besse discusses Scalable Instructable Multiworld Agent (SIMA), our AI agent that can follow instructions in a variety of games, including 3D worlds. ↓ https://dpmd.ai/3TWKoz9
-
“Proteins sticking to other proteins is what makes life exist.” 🧬 We explain the science behind AlphaProteo: our AI system for protein binder design that holds huge potential for biology. ▶️ Hear from Jue Wang, co-lead of the protein design team, David La, research scientist, and Harshnira Patani, wet lab lead here at Google DeepMind. ↓
-
Imagine AI as smart and adaptable as humans - helping solve problems, advance scientific progress, and even taking care of everyday tasks. 🧹 Join host Hannah Fry and Research Engineering Team Lead Frederic Besse as they explore the complex world of AI agents – programs that can learn, adapt, and act in virtual environments. ↓ https://dpmd.ai/3Y3Cwyb
-
We developed AlphaChip: an AI approach for designing microchips. Here’s how it’s helping unlock new technologies. ⚡ 🔲 It was used in the latest generations of Google’s Tensor Processing Units (TPUs), which are specialized chips for building AI models. 🔲 This includes Trillium, its sixth-generation TPU, which set the new state of the art - delivering nearly five times the peak performance, double the bandwidth, and 67% better energy efficiency than its predecessor. 🔲 Our ultimate vision is using AI to create chips which are faster, cheaper and more sustainable. 🔲 This could help develop new AI-powered technologies in devices such as smartphones, medical devices and agricultural sensors. Find out more → https://dpmd.ai/4gItIFw
-
Google DeepMind reposted this
Q: What happens to qubits after they’re made? A: Quantum processors operate in harsh environments like extreme temperatures and ultra high vacuums. Just like delicate microchips, they need a special "home" to work properly. That's where qubit packaging comes in! Watch how our #QuantumAI team is mastering this process to protect qubits from mechanical stress, moisture, and stray electromagnetic fields.
-
Today, we’re excited to release two new, production-ready versions of Gemini 1.5 Pro and Flash. 🚢 They build on our latest experimental releases and include significant improvements in long context understanding, vision and math. Developers can access both for free via Google AI Studio and the Gemini API - while enterprises can try it on Google Cloud's Vertex AI platform. 🤝 → https://dpmd.ai/4dz7q6l
-
-
From cleaning up the kitchen to fetching a snack, could robots one day assist us in our daily lives? In Google DeepMind: The Podcast, Jeff Dean spoke with Hannah Fry about the potential for AI to power robots capable of understanding and responding to natural language. ↓ https://dpmd.ai/3TDyGcA
-
Google DeepMind reposted this
Martingale Foundation is thrilled to announce a new partnership with Google DeepMind! Working together, this new partnership will enable talented students from low socioeconomic backgrounds to pursue Masters degrees in artificial intelligence. It will bring together the success of the Google DeepMind AI Masters Scholarship programme with Martingale Foundation’s tailored support and commitment to supporting access and progress in postgraduate study. The Google DeepMind Scholars will receive a fully-funded Scholarship, including all tuition fees, research costs, and a tax-free living wage stipend. In today's world of technology, artificial intelligence is not only growing in popularity but is one of the fastest-growing fields in STEM and the need for specialist training is increasing. Due to societal and financial barriers, these specialist roles remain out of reach for many. This partnership will help ensure we do not lose talented students from the pipeline, that they can follow their passion, and importantly, bring a diversity of thought to research and industry. As part of the Google DeepMind Partnership, Martingale is delighted to welcome two new university partners, University of Birmingham and Queen Mary University of London. They will be joining four of our current university partners; University of Cambridge, The University of Edinburgh, University of Oxford, and UCL, to offer a range of exciting AI Masters courses. 🔗 Read the link below to learn more about the partnership and visit our website to discover what courses are on offer, apply and become a STEM leader of tomorrow! ✨ Applications are open until 27 October, help us spread the word to interested applicants to ensure family income is no longer a barrier to postgraduate success! #MartingaleFoundation #GoogleDeepMind #AIMasters #Scholarships #FutureLeaders #ArtificialIntelligence #ApplyNow 🔗https://bit.ly/4euTElN
-
This week, our Chief AGI Scientist Shane Legg welcomed 100 undergraduate students, AI Masters and PhD scholars, Academic Fellows and more for a day of inspiration in our London offices. It included: ⚡Lightning talks and demos showcasing cutting-edge research. 🗣️ A panel discussion on leveraging your network for career success in AI. 📄 A poster session featuring the groundbreaking work of our Google DeepMind Research Ready participants. From healthcare breakthroughs to sustainability, this next generation is already helping shape the future of AI. Find out more about our education programs → https://lnkd.in/dxY3Bf2h
-