VP and Founder of Google Quantum AI Hartmut Neven recently sat down with SVP, Research, Labs, Technology & Society, James Manyika at Research@ to discuss our latest breakthrough algorithm, Quantum Echoes and the future of quantum computing applications. Watch the fireside chat here: https://goo.gle/43YNBmF
About us
From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. We aspire to make discoveries that impact everyone, and sharing our research and tools to fuel progress in the field is fundamental to our approach.
- Website
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https://research.google/
External link for Google Research
- Industry
- Technology, Information and Internet
- Company size
- 1,001-5,000 employees
Updates
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Congratulations to our team for being recognized in the 2025 PCMag Technical Excellence Awards for our breakthrough work using Willow to solve a long-established challenge for quantum error correction, namely reducing errors exponentially as more qubits are added. This opens up the possibility for quantum computers to solve-real world issues that currently aren’t possible with classic computers. Learn more ↓ https://goo.gle/3JOGxlS
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Today, we introduce Nested Learning, a groundbreaking approach to machine learning that redefines how we view and design AI models. By treating ML architecture and optimization as interconnected, multi-level learning problems, Nested Learning offers a new dimension for building more capable AI. This paradigm helps address critical challenges like "catastrophic forgetting", enabling models to continually acquire new knowledge without sacrificing old proficiencies. Our proof-of-concept model, Hope, is built on a self-modifying architecture and demonstrates superior performance in language modeling and long-context memory management. Learn more: https://goo.gle/49Fozww
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Learn about Google’s approach to building AI to help improve learning outcomes for everyone in this new paper, co-authored by Yossi Matias, our VP and Head of Google Research ↓
Today, we introduce our position paper “AI and the Future of Learning”, outlining Google’s approach to building AI to help improve learning outcomes for everyone. 📄 Our core focus at Google Research is driving breakthrough research and bridging fundamental scientific advancement into tangible solutions that address critical global needs. This is the magic cycle of research in action. This paper looks at how Google is leveraging its world leadership in machine learning to responsibly enable AI for learning. Our approach is grounded in pedagogical principles and the very best of learning science. 📄 Customized Learning at Scale: Google is actively developing AI models like Gemini, guided by our LearnLM efforts, to create deeply personalized teaching and tutoring experiences at scale. This shifts learning from passive consumption to active, deep understanding for everyone. 📄 Empowering Educators: AI is designed to serve as a powerful teaching assistant, alleviating administrative tasks and freeing up teachers' time for the essential human aspects of the job: mentoring, inspiring curiosity, and fostering connections. 📄 Addressing Critical Challenges: AI presents an immense opportunity to reduce barriers to quality education and help unlock human potential globally. However, realizing this requires confronting risks like "metacognitive laziness" and ensuring equal access, designing tools that promote critical thinking, not replace it. 📄 Commitment to Collaboration: To realize this vision, we remain committed to a research and evidence-based approach, involving continuous collaboration with educators and experts. The greatest potential of AI is helping everyone reach theirs, with AI as an amplifier of human ingenuity. Read the full report: https://lnkd.in/dHetuCnJ Blog announcement: https://lnkd.in/d4UEEsUX
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DS-STAR is a state-of-the-art data science agent designed to autonomously solve complex data science problems. It automates tasks from analysis to data wrangling across diverse data types to achieve top performance on challenging benchmarks. Learn more: https://goo.gle/3WEJAjx
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Together with Google DeepMind, we’re releasing ForestCast, a new benchmark & paper on forecasting deforestation risk with deep learning. This shifts from counting forest losses that have already occurred to anticipating the risk of loss before it happens. Learn more →https://goo.gle/43hemmd
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Researchers at Google are using AI to build a global map of species, from animals to plants to fungi. These maps, powered by a custom complex deep learning architecture based on Graph Neural Networks, will help scientists, policymakers, and conservationists identify critical habitats, maximizing resource efficiency and protecting the areas that need it most. To protect life on Earth, we first need to know where to find it. Learn more about Google’s biodiversity research here →https://lnkd.in/gz5QixSv Watch the video ↓ #GoogleResearch #AIForScience #Biodiversity #Conservation #MachineLearning #Sustainability #EarthEngine #GraphNeuralNetworks #NatureTech #SpeciesDistributionModels #SDM #GNN
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At Research@ in Mountain View last week, we shared some of our latest announcements, from understanding earth to advancing genomics & quantum computing. Read all about the powerful cyclical relationship — “magic cycle” — between research & real-world impact in this blog by our VP and Head of Google Research, Yossi Matias →https://goo.gle/43tTkB1
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To ensure strong transparency in user data handling and analysis, today on the blog we detail how confidential federated analytics technology is leveraged to understand on-device generative AI features. Read all about it →https://goo.gle/4qzm9FR
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Introducing StreetReaderAI: a new and more accessible street-level imagery prototype. This innovation uses context-aware, real-time AI and accessible navigation controls to redefine the immersive streetscape experience, making it more inclusive for everyone. Developed with blind and sighted accessibility researchers, StreetReaderAI leverages multimodal AI and Gemini Live to provide real-time AI-generated descriptions, dynamic conversations, and accessible navigation. Our study with blind screen reader users showed positive reactions, highlighting the significant accessibility advancement. Check out the blog post to learn more: https://goo.gle/47sOvJc