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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.

Shorts

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 →

226,221 次观看

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 →

141,970 次观看

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

394,585 次观看

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.

137,355 次观看

Welcome to the new home for Google Research on X! To learn about the latest research from Google, read the most up-to-date Google Research Blog posts, or get details on our participation at research-focused conferences, you’re in the right place — follow us here Google Research!

Welcome to the new home for Google Research on X! To learn about the latest research from Google, read the most up-to-date Google Research Blog posts, or get details on our participation at research-focused conferences, you’re in the right place — follow us here Google Research!

289,047 次观看

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.

82,043 次观看

Today at 11:00 AM, join Google researchers to experience SIMA 2, our latest Gemini-powered AI agent for 3D virtual worlds. SIMA 2 represents a significant step toward more general and helpful AI agents. Stop by the #NeurIPS2025 Google Booth to see the demo and learn more:

Today at 11:00 AM, join Google researchers to experience SIMA 2, our latest Gemini-powered AI agent for 3D virtual worlds. SIMA 2 represents a significant step toward more general and helpful AI agents. Stop by the #NeurIPS2025 Google Booth to see the demo and learn more:

52,612 次观看

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. →

74,433 次观看

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:

51,069 次观看

Improving tropical cyclone prediction can help communities better prepare & stay safe. Developed with Google DeepMind, we're launching Weather Lab to share our AI weather prediction models, starting with the new experimental cyclone prediction model. 🧵

Improving tropical cyclone prediction can help communities better prepare & stay safe. Developed with Google DeepMind, we're launching Weather Lab to share our AI weather prediction models, starting with the new experimental cyclone prediction model. 🧵

68,852 次观看

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 次观看

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:

25,808 次观看

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.

17,369 次观看

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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

119,042 次观看 • 7 个月前

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

76,906 次观看 • 8 个月前

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 次观看 • 7 个月前

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

25,348 次观看 • 8 个月前

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

12,485 次观看 • 7 个月前

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 次观看 • 8 个月前

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