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

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  • Google Research reposted this

    View profile for Ronit Levavi Morad
    Ronit Levavi Morad

    Last month, I had the pleasure of meeting Gillian Ober, a 7th grade English teacher from New Jersey and the 2026 State Teacher of the Year. As an educator dedicated to multilingual learners, Gillian’s first question to me was whether AI Quests is available in other languages apart from English. Her question was spot on, as our mission is to make AI Literacy truly accessible to all and mitigate the expansion of the “AI divide”. ✨✨✨ I am so thrilled to share that today we are delivering on that mission - our gamified learning experience, AI Quests, is now available in 8 new languages including Spanish, French, Arabic, and Portuguese. ✨✨✨ Through our localization efforts, we are accelerating the integration of AI Quests into the global AI literacy curriculum of Experience AI. This educational initiative, a joint effort by the Raspberry Pi Foundation and Google DeepMind, serves as a prime example of the deep partnerships we aim to build with local and international education organizations as we work to dismantle language barriers. Read AI Literacy Day recap blog with the announcement: https://lnkd.in/eszkVkyj Ready to start your own journey? Try AI Quests now: https://lnkd.in/dJm4_AkU

  • View organization page for Google Research
    Google Research

    415,575 followers

    Introducing a new roadmap for building highly reproducible AI benchmarks. In collaboration with researchers at RIT, we investigated the trade-off between the number of items and human raters per item — the forest vs. the tree. Our research suggests that the common standard of 3–5 raters is often insufficient for capturing human nuance. We found that by optimizing the rater distribution based on specific metrics, practitioners can achieve statistically reliable results and better account for natural disagreement in subjective tasks like safety and toxicity detection. We have open-sourced our simulation tool to help the community design more efficient and reliable evaluations. Learn more: https://goo.gle/4bQC8u5

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  • View organization page for Google Research
    Google Research

    415,575 followers

    This #NationalAILiteracyDay, we’re proud to see Google Research projects like AI Quests — developed in collaboration with the Stanford Accelerator for Learning — helping students apply AI literacy to solve real-world problems!

    View organization page for Google Learning & Education
    Google Learning & Education

    12,819 followers

    This National #AILiteracyDay, we’re helping you move from "in the loop" to "in the lead" with resources designed to help educators, learners, families, and more navigate the world of AI safely and responsibly. 💻 Professional AI learning to all 6 million U.S. educators through our partnership with ISTE+ASCD 📝 Gemini Faculty Fundamentals to master your academic workflows 🎮 Immersive, gamified learning for your students with AI Quests Explore these free resources and more today to help build the next generation of AI-literate leaders: ai.google/literacy

  • View organization page for Google Research
    Google Research

    415,575 followers

    How can AI help bridge global healthcare gaps? In the MedGemma Impact Challenge, launched in collaboration with Kaggle, 850+ teams showcased the potential. Today, we’re announcing the winners! Building upon our open-weight models, these developers are tackling a diverse range of critical healthcare challenges: 🏆 1st Place: EpiCast – designed for detecting disease outbreaks in West Africa. 🥈 2nd Place: Sunny – designed for privacy-first skin cancer screening. 🥉 3rd Place: FieldScreen AI – designed for on-device tuberculosis screening. 🏅 4th Place: Tracer – designed for the prevention of medical errors. ✨Special technology winners: ClinicDx, UniRad3s, BridgeDx, CaseTwin, BigTB6 ✨Honorable mentions: Dual Path ICU, Sentinel, Enso Atlas, CAP CDSS Congratulations to all the winners! Learn more about their innovations →goo.gle/47oQG1l

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  • View organization page for Google Research
    Google Research

    415,575 followers

    Today we are expanding the Google Quantum AI research program to include neutral atom quantum computing. This is a strategic move to sit alongside our core superconducting qubit work. By investing in both modalities, we can tap into their complementary strengths. Superconducting qubits offer the fast cycle times necessary for deep circuits, while neutral atom arrays provide a flexible connectivity graph for efficient error correction. Both paths accelerate our mission to build large-scale, error-corrected quantum computing to solve unsolvable problems, an engineering challenge we are excited to tackle. To lead this new chapter, we welcome Dr. Adam Kaufman to the team. Based in the AMO hub of Boulder, Colorado, he will lead a team embedded within the research ecosystem of CU Boulder and NIST. Read the full update from Hartmut Neven on the Google Keyword blog: https://goo.gle/40TycSV

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