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Google Research

Google Research

Technology, Information and Internet

Impossible? Let's see.

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
https://research.google/
Industry
Technology, Information and Internet
Company size
1,001-5,000 employees

Updates

  • Quest 3 of AI Quests is officially live! 🧠✨ Inspired by over a decade of our connectomics and neuroscience research, "Polar Peaks" invites students to step into the shoes of researchers mapping neural pathways in the brain. Created in collaboration with the Stanford Accelerator for Learning, the quest shows teens how human judgment shapes responsible AI.  Dive in below through the announcement by Ronit Levavi Morad! 👇

    Hot off the press! Quest 3 of AI Quests is officially LIVE—and this time, students are mapping the human brain! Created by Google Research in collaboration with the Stanford Accelerator for Learning, “Polar Peaks” is our newest interactive quest designed to teach teens how AI works and how to use it responsibly through hands-on scientific discovery. The human brain is one of the most complex and fascinating systems known to science. In "Polar Peaks," students step into the shoes of AI researchers trying to accelerate the extremely complex task of scanning and mapping neural pathways in the brain. Inspired by over a decade of neuroscience research at Google—including our team's recent milestone in mapping the complete male fruit fly brain—students clean data and test models in a code-free environment, learning firsthand how human judgment is critical when using AI. From flood forecasting in Quest 1 to eye disease detection in Quest 2, and now brain mapping in Quest 3, students aren't just learning research concepts—they're seeing how human decisions shape AI's real-world impact. Seeing this project grow from an initial concept on paper to a global program, localized in 10 languages to-date, with more than 400,000 quests completed across the series, has been extremely rewarding for me. To support educators leading these programs, we're introducing new dedicated teacher training modules for Polar Peaks, coming in November within the Google AI Educator Series. Sponsoring this initiative and working alongside our incredible research teams, educators, creative partners at Phantom, and our amazing pedagogical partners at the Stanford Accelerator for Learning has been an absolute honor. Thank you to Yossi Matias for continuous support and leadership in education. Thank you to everyone who poured their heart into making this dream a reality. This is how we help the next generation understand how AI works, use it responsibly, and find inspiration to solve real-world problems. Explore the resources and dive in: Read our full announcement: https://lnkd.in/ebafzncH Play Quest 3: https://lnkd.in/emjP8aPF Access dedicated training in the Google AI Educator Series: https://lnkd.in/eYBuhiAp

  • It's a milestone to see the Personal Health Agent (PHA) research published in Nature and open-sourced for the community.

    A new Nature paper by our teams on the Personal Health Agent (PHA) —the foundational multi-agent AI architecture behind the Google Health Coach. Conventional monolithic LLMs often struggle to simultaneously balance numerical time-series reasoning, clinical factuality, and open-ended coaching dialogue. The PHA overcomes these limitations through a modular architecture that orchestrates three specialized sub-agents over multimodal personal health data—including wearable time-series and blood biomarker data: ▶️ Data Science Agent: Analyzes longitudinal wearable and laboratory data to derive quantitative insights contextualized against population-level statistics. ▶️ Health Domain Expert Agent: Integrates personal data with grounded clinical health knowledge to provide evidence-based interpretations. ▶️ Health Coach Agent: Applies proven psychological strategies (such as motivational interviewing) to support multi-turn dialogue, goal setting, barrier identification, and progress tracking. 🧠 Central Orchestrator: Dynamically decomposes complex queries, routes tasks to specialists, and synthesizes unified responses through iterative reflection and persistent memory. Evaluated across 11 benchmark tasks with over 7,000 human annotations and 1,350+ hours of assessment from health experts and end users (grounded in the WEAR-ME study), this research represents a most comprehensive evaluation of a personal health agent. To help further advance safe, personalized, and trustworthy health AI, we are open-sourcing the PHA multi-agent framework for the broader research community. Read the full paper in Nature: https://lnkd.in/gSq8zkfp

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