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Impossible? Let’s see. From algorithms to neuroscience to AI, Google Research strives to progress science, advance society & improve billions of people’s lives.

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Introducing the planetary prediction engine: An experimental research capability that automates global geospatial modeling workflows. From predicting public health outcomes to improving food security, we are simplifying planetary-scale analytics. Learn more:

Introducing the planetary prediction engine: An experimental research capability that automates global geospatial modeling workflows. From predicting public health outcomes to improving food security, we are simplifying planetary-scale analytics. Learn more:

63,438 просмотров

Announcing our latest open medical AI models for developers: MedGemma 1.5, which is small enough to run offline & improves performance on 3D imaging (CT & MRI), & MedASR, a speech-to-text model for medical dictation. Both available on Hugging Face + Vertex AI. #MedGemma #HealthAI #GenerativeAI

Announcing our latest open medical AI models for developers: MedGemma 1.5, which is small enough to run offline & improves performance on 3D imaging (CT & MRI), & MedASR, a speech-to-text model for medical dictation. Both available on Hugging Face + Vertex AI. #MedGemma #HealthAI #GenerativeAI

395,456 просмотров

Introducing Vibe Coding XR, a new rapid prototyping workflow that empowers Gemini Canvas w/ the XR Blocks framework to turn user prompts into interactive, physics-aware WebXR applications, allowing creators to quickly test intelligent spatial experiences →

Introducing Vibe Coding XR, a new rapid prototyping workflow that empowers Gemini Canvas w/ the XR Blocks framework to turn user prompts into interactive, physics-aware WebXR applications, allowing creators to quickly test intelligent spatial experiences →

227,864 просмотров

How can we address the scarcity of data required for specialized AI? Learn about Simula, a framework that reframes synthetic data generation as dataset-level mechanism design. By using reasoning to architect datasets from first principles, Simula enables fine-grained control over coverage, complexity, and quality. More →

How can we address the scarcity of data required for specialized AI? Learn about Simula, a framework that reframes synthetic data generation as dataset-level mechanism design. By using reasoning to architect datasets from first principles, Simula enables fine-grained control over coverage, complexity, and quality. More →

142,710 просмотров

Does medical AI really work in the real-world? It needs to be assessed carefully and responsibly. We will be launching a first-of-its-kind nationwide randomized study with Included Health to evaluate AI in real-world virtual care to better understand its capabilities & limitations. This study is informed by years of foundational research across Google, investigating the capabilities required for a helpful & safe medical AI.

Does medical AI really work in the real-world? It needs to be assessed carefully and responsibly. We will be launching a first-of-its-kind nationwide randomized study with Included Health to evaluate AI in real-world virtual care to better understand its capabilities & limitations. This study is informed by years of foundational research across Google, investigating the capabilities required for a helpful & safe medical AI.

137,632 просмотров

For truly realistic conversational research, we must rethink fully autonomous agent design. DialogLab, our new open-source prototyping framework, uses a human-in-the-loop control strategy to achieve realistic human-AI group simulation, offering a necessary alternative to fully autonomous agents.

For truly realistic conversational research, we must rethink fully autonomous agent design. DialogLab, our new open-source prototyping framework, uses a human-in-the-loop control strategy to achieve realistic human-AI group simulation, offering a necessary alternative to fully autonomous agents.

82,306 просмотров

Let your wearable data "speak" for itself! Introducing SensorLM, a family of sensor-language foundation models trained on ~60 million hours of data, enabling robust wearable data understanding with natural language. →

Let your wearable data "speak" for itself! Introducing SensorLM, a family of sensor-language foundation models trained on ~60 million hours of data, enabling robust wearable data understanding with natural language. →

74,547 просмотров

Introducing StreetReaderAI: A new and more accessible street-level imagery prototype using context-aware, real-time AI and accessible navigation controls. We're redefining immersive streetscape experiences to be inclusive for all with multimodal AI. More:

Introducing StreetReaderAI: A new and more accessible street-level imagery prototype using context-aware, real-time AI and accessible navigation controls. We're redefining immersive streetscape experiences to be inclusive for all with multimodal AI. More:

51,096 просмотров

Ever had a perfect image in mind that a text-to-image model just couldn't capture? Our new reinforcement learning agent, PASTA, turns image generation into a collaborative conversation, learning your style to bring your vision to life. Learn how it works:

Ever had a perfect image in mind that a text-to-image model just couldn't capture? Our new reinforcement learning agent, PASTA, turns image generation into a collaborative conversation, learning your style to bring your vision to life. Learn how it works:

25,860 просмотров

Traditional physics-based models struggle with extreme rainfall, often overestimating light events while underestimating extreme precipitation. Our new hybrid climate model, NeuralGCM, more accurately simulates extreme rainfall, mean precipitation (with a 40% bias reduction compared to CMIP6 models), and the diurnal cycle of precipitation. These improvements are a direct result of training the model on NASA satellite observations, not just reanalysis data.

Traditional physics-based models struggle with extreme rainfall, often overestimating light events while underestimating extreme precipitation. Our new hybrid climate model, NeuralGCM, more accurately simulates extreme rainfall, mean precipitation (with a 40% bias reduction compared to CMIP6 models), and the diurnal cycle of precipitation. These improvements are a direct result of training the model on NASA satellite observations, not just reanalysis data.

16,267 просмотров

Next-gen telescopes will generate 10 million alerts a night. How can astronomers keep up? We prompted Gemini with 15 examples to classify cosmic events at 93% accuracy, & it explains its reasoning in plain language — one example of how AI collaboration can accelerate discovery.

Next-gen telescopes will generate 10 million alerts a night. How can astronomers keep up? We prompted Gemini with 15 examples to classify cosmic events at 93% accuracy, & it explains its reasoning in plain language — one example of how AI collaboration can accelerate discovery.

17,457 просмотров

In partnership wtih 3 pan-African data science & ML communities —SisonkeBiotik, Ro’ya, & DS-I Africa— we hosted an Africa-wide Data Science for Health Ideathon, focused on using Google’s open health AI models to tackle real-world health challenges. More →

In partnership wtih 3 pan-African data science & ML communities —SisonkeBiotik, Ro’ya, & DS-I Africa— we hosted an Africa-wide Data Science for Health Ideathon, focused on using Google’s open health AI models to tackle real-world health challenges. More →

10,027 просмотров

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Introducing our new agentic RAG framework. A collab with Google Cloud, our multi-agent workflow goes beyond standard RAG by breaking down complex enterprise queries & iteratively searching for sufficient context before generating dependable responses. 📜→

Introducing our new agentic RAG framework. A collab with Google Cloud, our multi-agent workflow goes beyond standard RAG by breaking down complex enterprise queries & iteratively searching for sufficient context before generating dependable responses. 📜→

Google Research

507,726 просмотров • 3 месяцев назад

Introducing a research system that enables passive heart rate monitoring (PHRM) during everyday smartphone use. Using the front-facing camera, it achieves industry accuracy standards for heart rate across all skin tones. Check out the blog to learn more:

Introducing a research system that enables passive heart rate monitoring (PHRM) during everyday smartphone use. Using the front-facing camera, it achieves industry accuracy standards for heart rate across all skin tones. Check out the blog to learn more:

Google Research

219,993 просмотров • 3 месяцев назад

Today we announce a new paradigm for quantum control. By integrating reinforcement learning with quantum error correction, we enabled a quantum computer to continuously adapt to drift, stabilizing the system during computation. This improved logical stability 3.5x. Learn more:

Today we announce a new paradigm for quantum control. By integrating reinforcement learning with quantum error correction, we enabled a quantum computer to continuously adapt to drift, stabilizing the system during computation. This improved logical stability 3.5x. Learn more:

Google Research

60,255 просмотров • 1 месяц назад

For 10 years, Google has worked to accurately read the operating manual of all life on Earth — the genome. Our AI tools are now used by partners for real-world challenges from improving healthcare to biodiversity conservation. Check out the key milestones ↓

For 10 years, Google has worked to accurately read the operating manual of all life on Earth — the genome. Our AI tools are now used by partners for real-world challenges from improving healthcare to biodiversity conservation. Check out the key milestones ↓

Google Research

119,213 просмотров • 10 месяцев назад

No one should ever be surprised by a natural disaster. ✨ That is our north star for crisis resilience, as highlighted by Yossi Matias, GM of Google Research and Google Crisis Resilience Lead, where he also shares how we're using AI to predict floods, wildfires, and extreme weather to help keep communities safe globally. 🌍👇 Explore our work: Read the latest blog on our progress:

No one should ever be surprised by a natural disaster. ✨ That is our north star for crisis resilience, as highlighted by Yossi Matias, GM of Google Research and Google Crisis Resilience Lead, where he also shares how we're using AI to predict floods, wildfires, and extreme weather to help keep communities safe globally. 🌍👇 Explore our work: Read the latest blog on our progress:

Google Research

19,857 просмотров • 1 месяц назад

Today, we’re launching AI Quests, a game-based learning experience for students to learn firsthand how AI can address real-world societal and scientific challenges, from forecasting floods to mapping the brain. Learn more in our blog →

Today, we’re launching AI Quests, a game-based learning experience for students to learn firsthand how AI can address real-world societal and scientific challenges, from forecasting floods to mapping the brain. Learn more in our blog →

Google Research

77,007 просмотров • 1 год назад

AlphaEarth Foundations is a new state-of-the-art model that revolutionizes global mapping and monitoring. This work already powers partners around the world to address challenges from deforestation to urban expansion.

AlphaEarth Foundations is a new state-of-the-art model that revolutionizes global mapping and monitoring. This work already powers partners around the world to address challenges from deforestation to urban expansion.

Google Research

48,729 просмотров • 11 месяцев назад

Introducing a new approach for editing images, now live in the Auto frame feature in Google Photos. Our method interprets 2D photos as 3D scenes, allowing you to re-capture moments from a new perspective after the photos have been taken. Read all about it:

Introducing a new approach for editing images, now live in the Auto frame feature in Google Photos. Our method interprets 2D photos as 3D scenes, allowing you to re-capture moments from a new perspective after the photos have been taken. Read all about it:

Google Research

24,069 просмотров • 4 месяцев назад

Learn about our research prototype LLM-powered personal health agent that analyzes various data modalities, including data from wearable devices, to offer evidence-based health insights and to provide a personalized coaching experience. Read more →

Learn about our research prototype LLM-powered personal health agent that analyzes various data modalities, including data from wearable devices, to offer evidence-based health insights and to provide a personalized coaching experience. Read more →

Google Research

25,498 просмотров • 11 месяцев назад

What if we could use AI to identify genetic variants in cancer cells? DeepSomatic uses ML to find key DNA variants with higher accuracy, aiming to create a better understanding of cancer’s underpinnings and support partners in designing more effective, personalized treatments.

What if we could use AI to identify genetic variants in cancer cells? DeepSomatic uses ML to find key DNA variants with higher accuracy, aiming to create a better understanding of cancer’s underpinnings and support partners in designing more effective, personalized treatments.

Google Research

12,520 просмотров • 10 месяцев назад

Ensuring generalization of LLMs in response to distribution shifts is especially important for medical and health-related models. Here we describe AfriMed-QA, an open-source benchmark question–answer dataset sourced from countries across Africa. More at

Ensuring generalization of LLMs in response to distribution shifts is especially important for medical and health-related models. Here we describe AfriMed-QA, an open-source benchmark question–answer dataset sourced from countries across Africa. More at

Google Research

11,526 просмотров • 11 месяцев назад

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