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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

395,893 görüntüleme

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 →

228,294 görüntüleme

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:

64,431 görüntüleme

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 görüntüleme

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.

137,683 görüntüleme

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.

82,487 görüntüleme

Methane is a potent greenhouse gas driving approximately 25% of human-induced warming. MAPL-EMIT is a deep-learning model that automates global methane tracking from space to enable scalable climate action. Read the full post and check out the dataset:

Methane is a potent greenhouse gas driving approximately 25% of human-induced warming. MAPL-EMIT is a deep-learning model that automates global methane tracking from space to enable scalable climate action. Read the full post and check out the dataset:

13,897 görüntüleme

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. →

74,575 görüntüleme

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:

51,151 görüntüleme

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 görüntüleme

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 görüntüleme

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.

17,467 görüntüleme

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 →

10,042 görüntüleme

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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

508,797 görüntüleme • 4 ay önce

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

220,252 görüntüleme • 4 ay önce

Today we explore the future of practice. We harness generative UI with learning design guardrails to give teachers the ability to generate guided, learning interactive simulations — for every topic & student. Read more + check out the sample library with 30+ STEM interactives →

Today we explore the future of practice. We harness generative UI with learning design guardrails to give teachers the ability to generate guided, learning interactive simulations — for every topic & student. Read more + check out the sample library with 30+ STEM interactives →

Google Research

31,359 görüntüleme • 1 ay önce

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

60,773 görüntüleme • 2 ay önce

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

119,234 görüntüleme • 1 yıl önce

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

77,039 görüntüleme • 1 yıl önce

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 görüntüleme • 3 ay önce

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 görüntüleme • 1 yıl önce

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

24,186 görüntüleme • 5 ay önce

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

25,505 görüntüleme • 1 yıl önce

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

12,527 görüntüleme • 1 yıl önce

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

11,572 görüntüleme • 1 yıl önce

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