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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.

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Technology, Information and Internet
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  • Google Research reposted this

    View profile for Yossi Matias
    Yossi Matias

    Breakthroughs at Google I/O reflect a new bold agentic era. With models that are more powerful than ever and an agentic coding platform, we’re making Google products substantially more helpful for everyone while transforming how researchers tackle the most pressing scientific and societal challenges. In the new blog I reflect on key highlights from Google Research, done in close collaboration with many teams across Google and global partners: 🔬Accelerating scientific discovery – Announcing Gemini for Science, including hypothesis generation, computational discovery and literature insights, built with foundational research including ERA and Co-Scientist - both published in Nature last week. 🏥 Advancing Health with AI – From foundational research enabling the Google Health app, to recent milestones in our research on interpreting and reason about complex cases and medical conversational data, to empowering the global healthcare ecosystem with MedGemma, which has now over 5M downloads. 👉 Coralboard for edge AI  – Launching the first Coralboard from Synaptics, featuring the Gemma 3 270M open model, to help developers rapidly prototype and build devices with our low-powered Coral NPU. ⛈️ Predicting extreme weather – Expanding our crisis resilience efforts with WeatherNext for hurricane tracking and our recent introduction of Groundsource, which enables urban flash flood forecasting. ✨ Improving core capabilities in Gemini – Advancing foundational research in factuality, multilinguality, and efficiency, which help advance Gemini model quality and performance, and expand global access to our products. 🎨 Creating more engaging generative experiences – Our research into generative UI laid the foundations for newly announced immersive experiences in Google Search and the Gemini app, and collaborating to improve the storytelling and human expressions in Gemini Omni. 💻 Agentic developer productivity – Introducing /teamwork-preview agents in Google Antigravity 2.0 to automate complex, long-horizon software engineering tasks, and launching Gemma V4, which surpassed 100M downloads in just one month. 🔒Privacy and data protection technologies – Developing privacy-preserving technology (PPT) and advanced risk management reasoning to provide strong privacy guarantees and harden our systems against emergent vulnerabilities. ⚛️  Quantum  – Recent advances in verifiable quantum advantage with our Willow chip running the Quantum Echoes algorithm 13,000x faster than a classical supercomputer, and investing in the intersection of Life Sciences & Quantum AI. Read the full blog post for all the details: https://lnkd.in/g7n2VkQX

  • View organization page for Google Research
    Google Research

    444,816 followers

    During Google I/O, we published our research on ERA (Empirical Research Assistance) in Nature. Check out this conversation between Yossi Matias (VP, Google & GM, Google Research) and Lizzie Dorfman (Principal Product Manager for Science AI) as they discuss how this agentic coding system is unlocking scientific breakthroughs that were previously thought impossible. ERA is one of the systems used to build Computational Discovery, a new experimental tool that is starting to roll out more broadly through Gemini for Science. As Yossi often says: AI is an amplifier of human ingenuity. 🚀 Resources to learn more👇 Blog link:  https://lnkd.in/gG7htjyE Nature Paper link: https://lnkd.in/gr_uQPhP Google for Science: https://lnkd.in/gYcvzpcb

  • View organization page for Google Research
    Google Research

    444,816 followers

    An impressive milestone for our crisis resilience efforts. WeatherNext, developed with @GoogleDeepMind, delivers forecasts 8x faster and accurately predicted Hurricane Melissa's path 5 days in advance with 80% confidence. Check out the post from Yossi Matias to learn more. ↓

    View profile for Yossi Matias
    Yossi Matias

    A new milestone in weather forecasting from Google I/O this week highlights how we are applying core AI research to address critical global challenges and help with crisis resilience. We developed WeatherNext—an AI weather model by teams in Google DeepMind and Google Research - that excels at predicting both track and intensity simultaneously. The model achieves this dual capability by training on decades of global weather patterns alongside specialized datasets of tropical cyclones. 🌀 Rather than providing a single best guess, WeatherNext can run ensembles of 50 different "what-if" scenarios, giving experts a broader range of possibilities to inform decision-making. During the 2025 hurricane season, this multi-year collaboration with the National Hurricane Center (NHC) faced a historic test with Hurricane Melissa, the strongest hurricane on record to make landfall in Jamaica. 🌀  WeatherNext helped the NHC anticipate rapid intensification, predicting a Category 5 strength landfall in Jamaica five days in advance with 80% confidence, which increased to near 100% three days in advance. This marked the first time a storm was successfully predicted to reach Category 5 intensity starting from Category 1 wind speeds, capturing a top-tier hurricane from modest beginnings. 🌀 Across the entire 2025 season, the NHC’s annual verification report found that WeatherNext was the top-performing individual model for track and intensity. This performance gave forecasters the confidence to provide the Meteorological Services of Jamaica with unprecedented lead time to safely mobilize resources and coordinate evacuations. By combining the speed and accuracy of AI with the irreplaceable experience of expert forecasters, our goal is to reduce the human and economic toll of natural disasters. This technology is already integrated into forecasts on Search in geographic areas covered by NOAA and are working to expand access to other regions. Moving forward, these research capabilities will be brought to other critically affected regions, including active partnerships and future collaborations with local agencies in the Philippines, Taiwan, Indonesia, Vietnam, Japan, Australia, and India. You can explore the data and tracking models through our experimental showcase at Weather Lab: https://lnkd.in/gEqf_7Cv The weather models are part of Google Earth AI, our collection of geospatial models and datasets for planetary intelligence. Read about the announcement: https://lnkd.in/gvx6hB_g Read about Google Earth AI: https://lnkd.in/d33UYtae Read about Google climate resilience efforts: https://lnkd.in/gp34Cyq8

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  • View organization page for Google Research
    Google Research

    444,816 followers

    Today, Yossi Matias shares 5 research highlights (of many) from Google I/O, showcasing how these advancements in personalization, intelligence, and agentic systems are shaping the future of AI and transforming technology's impact. Watch the video below to learn more. ↓

    View profile for Yossi Matias
    Yossi Matias

    Hello from Google I/O! Yesterday and today we showcased how our advancements across personalization, intelligence, and agents are helping to solve complex problems and deliver real-world helpfulness—from daily life to scientific discovery. What a great energy at the show! And thanks to the Google social team for discussing with me 5 (out of so many) research highlights. Read more about everything we announced: https://lnkd.in/g7Jg9PrM

  • View organization page for Google Research
    Google Research

    444,816 followers

    Our latest research on Co-Scientist is out today in Nature! Built with Gemini, this multi-agent system powers the new Hypothesis Generation tool within Gemini for Science, helping researchers navigate the rigorous cycle of ideation, critique, and refinement. Read more from Yossi Matias and explore the full announcement: https://lnkd.in/gCZ5qxSV

    View profile for Yossi Matias
    Yossi Matias

    Today, our research on Co-Scientist was published in Nature. It introduces a new multi-agent AI system built with Gemini that iteratively generates, debates, and evolves novel hypotheses for complex scientific problems. Hypothesis Generation introduced today at #GoogleIO as part of the Gemini for Science experimental tools is built with Co-Scientist. Scientific discovery is rarely a straight line; it is a rigorous cycle of ideation, critique, and refinement. The core research question behind Co-Scientist was: How can an AI system empower researchers in this rigorous structured thinking for scientific discovery? Rather than thinking linearly, Co-Scientist relies on a collaborative coalition of specialized agents built with Gemini, orchestrated by an adaptive supervisor agent acting as a freeform planner. It operates across three distinct phases: 👉 Generating Ideas: A specialized Generation Agent proposes novel hypotheses grounded in literature, while a Proximity Agent maps and clusters these ideas to ensure the system thoroughly explores diverse areas of the research space. 👉 Debating Ideas: To enforce scientific rigor, a Reflection Agent acts as a virtual peer reviewer to critically evaluate hypotheses. A Ranking Agent then orchestrates a "tournament of ideas," utilizing pairwise comparisons and simulated scientific debates to prioritize the most robust concepts. 👉 Evolving Ideas: An Evolution Agent continually refines and combines the top-ranked hypotheses. Finally, a Meta-Review Agent synthesizes insights from the entire tournament to optimize system performance and generate a final research proposal for human review. To ensure these generated hypotheses are robust and testable, the majority of the system's computation is dedicated to verification. The system  runs an Elo-based tournament to continuously rank ideas while injecting fresh knowledge. It cross-checks claims against scientific literature and integrates web search alongside specialized databases such as ChEMBL and UniProt. We are already seeing this move into real-world validation. At Stanford University School of Medicine, Co-Scientist helped identify drug-repurposing candidates for liver fibrosis—one of which successfully blocked 91% of a scarring-linked response in lab tests. AI handles the complexity of data synthesis and hypothesis ranking, the "human spark"—intuition, judgment, and asking the right questions—becomes even more critical. Science remains a team sport, and we believe the future is one where human creativity is amplified by accessible AI partners. AI as an amplifier of human ingenuity Read the paper in Nature: https://lnkd.in/gcu9wjM8 The announcement blog: https://lnkd.in/gN_W73yf

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  • View organization page for Google Research
    Google Research

    444,816 followers

    Today at #GoogleIO, we announced Gemini for Science, a new collection of tools and experiments designed to expand the scale and precision of scientific exploration. Learn more from Yossi Matias and read the blog: https://lnkd.in/gYcvzpcb

    View profile for Yossi Matias
    Yossi Matias

    I am delighted that today at #GoogleIO, we are introducing ✨Gemini for Science✨ — a collection of science tools and experiments designed to expand the scale and precision of scientific exploration. Today’s scientific paradox is that our collective knowledge is growing so fast that it’s becoming harder for individual scientists to see the full picture. Scientific breakthroughs often rely upon making creative connections between data, but the time required to do this manually can take weeks or even months. AI can help eliminate this bottleneck and serve as a force multiplier for scientific work by handling complex tasks. Researchers can now focus on identifying and tackling the most impactful scientific problems. AI as an amplifier of human ingenuity. Key pillars of this new scientific workbench: ✨ Hypothesis Generation (built with Co-Scientist): Ideation is the heartbeat of science.  Our Co-scientist system is a multi-agent AI system that iteratively generates, debates, and evolves novel hypotheses for complex scientific problems. We are making Co-Scientist available to individual researchers through Hypothesis Generation. The research on Co-Scientist is published today in Nature. ✨ Computational Discovery (built with AlphaEvolve and ERA): Scientific progress is often limited by how many computational experiments we can run. This agentic engine can generate and score thousands of code variations in parallel, accelerating modeling in fields like epidemiology and climate science. The research on ERA (Empirical Research Assistance) is published today in Nature. ✨ Literature Insights (built with NotebookLM): Understanding vast amounts of literature is a core research bottleneck. This tool synthesizes findings across papers, identifying research gaps and uncovering new opportunities through searchable side-by-side analysis. We are collaborating with over 100 institutions—including Stanford University School of Medicine, Imperial College London, and the Crick Institute—to validate these systems. To ensure the integrity of AI-generated insights, we have established a trusted tester community of researchers across a wide range of scientific fields to stress-test our tools against real-world challenges. We keep exploring more ways to help with the scientific method, including tools that help review papers such as our Paper Assistant Tool (PAT) and ScholarPeer. Congratulations to the amazing Google teams and partners involved in this work! Our Gemini for Science announcement - posted with my colleague Pushmeet Kohli : https://lnkd.in/gdtYkqfh Co-Scientist announcement: https://lnkd.in/gN_W73yf ERA announcement: goo.gle/3Rjc0A2 Co-Scientist Nature paper: https://lnkd.in/gcu9wjM8 ERA Nature paper: https://lnkd.in/gbuZSYjR

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  • Google Research reposted this

    View profile for Ronit Levavi Morad
    Ronit Levavi Morad

    I am incredibly proud to share that AI Quests has been named the Best Global K–12 Learning Solution at the inaugural EDTech Innovation Hub Awards 2026! 🏆 This recognition is so meaningful because it validates the work we’ve been doing at Google Research in collaboration with the Stanford Accelerator for Learning. Together, we created AI Quests, a game-based learning experience inspired by Google Research projects. By turning research into play, we help students navigate the "healthy struggle" of learning while building true AI literacy. A massive thank you to the whole team, our brilliant partners at Stanford and the hundreds of Googler volunteers who have helped bring these quests to life in classrooms globally. We are just getting started. The future of learning is about building agency, confidence, and curiosity—and I’ve never been more optimistic about the path we’re charting together.

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