Where can AI make the most impact in science, and why is collaboration key to its success? Our COO Lila Ibrahim discussed this and much more with guests Sir Paul Nurse, Professor Dame Angela McLean and Ilan Gur at our recent AI For Science Forum, co-hosted with The Royal Society. Watch the full panel now → https://goo.gle/4eRlPvh
Google DeepMind
研究服务
London，London 1,108,291 位关注者
We're committed to solving intelligence, to advance science and benefit humanity.
关于我们
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.
- 网站
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https://www.deepmind.google
Google DeepMind的外部链接
- 所属行业
- 研究服务
- 规模
- 501-1,000 人
- 总部
- London，London
- 类型
- 私人持股
- 创立
- 2010
- 领域
- Artificial Intelligence和Machine Learning
地点
Google DeepMind员工
动态
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A chess set inspired by art deco ??, plants ??, or even the universe ??. Using our most advanced image generation model Imagen 3, our latest AI experiment GenChess in Google Labs lets you create playable art pieces. 1?? Enter a prompt 2?? Gemini will help transform your idea into a fully fleshed out concept. 3?? Imagen 3 will generate a stylised chess set for you. You can also share your creations on social media - and even play a game using your new set against a computer opponent. Try it out now → https://goo.gle/3CmeEgV
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Our new essay argues there is a growing imperative for scientists to use AI as they face challenges related to scale and complexity. ?? Drawing on interviews with experts who led scientific breakthroughs with the help of AI, we explore the biggest opportunities, give perspectives on the most important ingredients and commonly cited risks - and conclude with a policy agenda for science in the age of AI. Find out more → https://goo.gle/4fAyunn
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"Every major AI company says it aspires to bring positive change to countless aspects of life, but Google DeepMind is doing an uncommonly high percentage of the heavy lifting." Global Tech Editor at Fast Company Harry McCracken recently spent time with our CEO Demis Hassabis and many others at our London offices and shared his perspective on our work ↓ https://lnkd.in/e5g_Siiy
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How can AI revolutionize the scientific method to bring in a new age of discovery? Eric Topol, MD chaired a fascinating discussion with our VP Science, Pushmeet Kohli and leading biomedical researchers Alison Noble (Vice President, Royal Society) and Fiona H. Marshall (President of Biomedical Research, Novartis) to discuss this and more. Watch the full panel now ↓ https://goo.gle/3VqplpB
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With Google Quantum AI, we’re introducing AlphaQubit: an AI-based system that can more accurately identify errors inside quantum computers. ??? Here’s why this is important. ↓ Certain problems which would take a classical computer billions of years to solve, can be solved by quantum computers in a few hours. The issue? These systems aren’t as reliable as we’d like. Quantum error correction?solves this by: ?Grouping multiple qubits into a single logical qubit. ?Making consistency checks. ?Using a decoder to identify and correct errors from those consistency checks. AlphaQubit achieves a new state-of-the-art in decoding accuracy, helping to make quantum computers more reliable. AlphaQubit shows the potential of machine learning approaches in this space. We look forward to advancing this work, helping pave the way for more stable and reliable quantum systems. ↓ https://goo.gle/3V0rVCo
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Together with The Royal Society, we hosted the AI for Science Forum: a gathering of leading scientists, academics and policymakers to explore AI’s role in the future of science. ?? We’ll be sharing highlights from the event over the coming days. Find out more ↓ https://goo.gle/3UYS9oN
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Today, Google.org announced $20 million in funding to drive scientific discovery around the world. “We hope [this] fund will help encourage further collaboration between the private and public sectors, kick-start renewed excitement for the power of AI and science, and inspire others to join us in funding this important work.” - Demis Hassabis Learn more about it ↓ https://lnkd.in/dp8XJJka
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In Fortune, our CEO Demis Hassabis and Google SVP Research, James Manyika, share why they believe AI has the potential to be a transformative tool for scientific discovery - helping us answer some of the most fundamental questions about the universe. ↓ https://goo.gle/3ZbEMUG
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Imagine AI assistants that help us navigate the digital world while keeping our personal information safe. ?? Senior Staff Research Scientist Iason Gabriel believes building strong ethical foundations into AI will make this possible. Listen in on his conversation with our podcast host Hannah Fry to learn more ↓ https://goo.gle/48MtJo6