Traditional traffic safety evaluation relies on historical crash data, which is often a "lagging" indicator and statistically sparse on many roads. Our Mobility AI team established a statistically significant correlation between hard-braking events (HBEs) and actual road segment crash rates. By analyzing anonymized data from Android Auto, we found that HBEs provide a signal 18 times more dense than traditional crash reports, allowing for the identification of high-risk locations — like the Highway 101 and 880 merge in California — without waiting for years of collision history. We are now working with Google Maps Platform to integrate these leading indicators into the Roads Management Insights offering to help transportation agencies improve infrastructure safety. Learn more: https://goo.gle/4bq92Sg
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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Today we announce the release of MedGemma 1.5, an update to our open medical AI models for developers. As healthcare industry AI adoption accelerates, we are expanding the Health AI Developer Foundations (HAI-DEF) collection to support more complex clinical workflows. MedGemma 1.5 4B improves baseline performance on high-dimensional 3D imaging — including CT and MRI — and substantially improves reasoning over medical records. Additionally, we recently introduced MedASR, our new automated speech recognition model fine-tuned for medical dictation that achieves up to 82% fewer errors on specialized medical benchmarks compared to generalist models. To encourage further innovation, we are also kicking off the MedGemma Impact Challenge on Kaggle with $100,000 in prizes. Learn more: https://goo.gle/4qVhQUR MedGemma Impact Challenge: https://lnkd.in/gYYnFFkD
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Today on the blog we present results showing the operation of new dynamic circuits for quantum error correction, going beyond their static counterparts by using fewer couplers, removing correlated errors & utilizing a different type of quantum gate. Read more →https://goo.gle/4jDanqV
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Announcing an advancement in our hybrid climate model, NeuralGCM, part of our Earth AI program to provide actionable insights about the physical earth to benefit society. We've trained the AI component directly on NASA satellite observations, leading to improved simulations of global precipitation, as published in Science Advances. This new approach allows NeuralGCM to more accurately predict: - Extreme Rainfall: Major improvements in capturing the intensity of the top 0.1% of rainfall events. - Long-Term Accuracy: A 40% average error reduction over land compared to leading climate models in multi-year runs. - Daily Patterns: Correctly reproducing the timing of peak daily precipitation. The open-source code and precipitation model checkpoint are now available for the community. Learn more: goo.gle/4qNBgL9
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Building a long-lived logical qubit is essential for the next stage of quantum computing, and the next milestone on the Google Quantum AI roadmap. We put our Google Quantum AI researchers to the test for our "Hard Quantum Words" series to see how they break down this complex idea. Watch the video and tell us: Who explained it best?
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What does quantum advantage really mean? In our new series, Hard Quantum Words, researchers from the Google Quantum AI team take on the challenge of explaining this foundational concept in plain language, showing how even the most complex ideas in quantum computing can be approached in a clear, understandable way. Watch how they break it down.
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Advancing core scientific research, DeepSomatic & C2S-Scale join the AI-powered fight against cancer. Whether identifying genetic variants or generating novel hypotheses, our research helps scientists understand cancer & paves the way for brand-new therapies. Check out our review of 2025 for more ⬇️
In 2025, the magic cycle of research accelerated. Google Research teams delivered pioneering breakthroughs and brought our research to reality with impact on products, science and society. Read all about it in this blog from Yossi Matias, VP and Head of Google Research →https://goo.gle/48WNbyY
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To help fuel this era of rapid innovation, we’re investing in efficiency — making Google products more cost & energy efficient. From block verification to a new scheduling algorithm, our research helps optimize efficiency without sacrificing reliability. This and more in our 2025 review ⬇️
In 2025, the magic cycle of research accelerated. Google Research teams delivered pioneering breakthroughs and brought our research to reality with impact on products, science and society. Read all about it in this blog from Yossi Matias, VP and Head of Google Research →https://goo.gle/48WNbyY
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Google Research reposted this
What an incredible, transformative year it has been at Google Research under Yossi Matias’ visionary leadership, in collaboration with wonderful colleagues across Google and our partners. Our long-standing leadership in AI and machine learning has provided a powerful foundation for achievements that are now shaping new paradigms. Truly proud to be part of this organization - and looking ahead to an impactful 2026!
As 2025 draws to a close, I'm excited to reflect on the extraordinary year we've had at Google Research in close collaboration with many teams across Google and our global partners. Some of this year’s highlights: 1/ Advancing generative models to be more efficient, factual, multilingual and multi-cultural 2/ Introducing interactive interfaces with generative UI 3/ Advancing the next frontier of quantum computing 4/ Accelerating scientific discovery 5/ Advancing science, from biology to genomics to neuroscience 6/ Enabling planetary intelligence and crisis resilience 7/ Delivering breakthroughs in Health AI 8/ Advancing learning and education 9/ Advancing ML foundations and algorithmic research 10/ Introducing novel architectures We are working across time horizons, from bold moonshots and curiosity-driven transformative research where we explore the art of the possible, to innovation and applied research with accelerated impact on products, science and society. Never before have technical breakthroughs and scientific progress so quickly materialized into impactful, real-world solutions, which, in turn, inspire new avenues of foundational research. This magic cycle of research is accelerating significantly, propelled by more powerful models, new agentic tools that support scientific discovery, and open platforms and tools. It is truly an exciting time to be in research, and I'm proud of what the team has accomplished. We’ll keep advancing AI in a bold and responsible way, for the benefit of society, to help enhance human capacity and make AI an amplifier of human ingenuity. Read about Google Research 2025 year in review: https://lnkd.in/d2wg7MpS
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