Google Research

October 6, 2026 Arbaaz Muslim, Software Engineer, Google Research, and Gautam Prasad, Software Engineer, Google Research With Google Earth AI’s Population Dynamics Foundation Model (PDFM), we can address the data gaps and temporal reporting lags of existing epidemiological workflows. In our latest work, we present five partner-driven case studies demonstrating how this model exemplifies the planetary geospatial found

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Google Research and DeepMind are releasing WeatherNext 3, a weather model that skips traditional physics simulations and learns directly from real-time satellite data. It produces hourly forecasts at up to five-kilometer resolution, five times more detailed than its predecessor. Google says regions in Africa, Latin America, and the Asia-Pacific that have lacked accurate forecasts should see the biggest gains.

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Introducing WeatherNext 3, our most advanced and accurate global weather AI model Every day, the weather influences billions of decisions. Some are as simple as grabbing an umbrella before heading out the door, but others are far more consequential. Wind, rain, and extreme weather events, like heatwaves and droughts, have cascading impacts across agriculture, global supply chains, clean energy production, and nationa

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August 26, 2026 Ahmed A. Metwally, Staff Research Scientist, and Zechen Li, Student Researcher, Google Research GlucoFM is a lightweight, self-supervised CGM foundation model that models slower glucose trends and short-term deviations in separate streams, producing transferable representations and setting new performance standards across diverse metabolic prediction tasks, including diabetes risk assessment, insulin

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Google Research researchers introduce Mobility-Embedded POIs (ME-POIs), a dynamic, mobility-informed framework that enhances language models' understanding of places by integrating aggregate, anonymized mobility patterns such as arrival times, stay durations, and surrounding movement. This self-supervised approach blends text descriptions with large-scale mobility data to create embeddings that capture both a place's

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Researchers at Google Research introduce the Biomarker Discovery Framework, a multi-agent system that prioritizes candidate biomarkers from wearable sensor data through iterative hypothesis generation, statistical analysis, adversarial validation, and literature-grounded reasoning, under human supervision. The system combines deterministic computation for numerical analysis with generative reasoning for hypothesis fo

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Google Research demonstrates the feasibility of PhotoScan, a deep learning approach that estimates body composition from smartphone photos to predict insulin resistance with accuracy comparable to DXA scans in a clinical research setting. Insulin resistance, a critical driver of metabolic disease, often precedes type 2 diabetes by years, and a HOMA-IR score above 2.9 indicates insulin resistance. The study highlights

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WeatherNext: AI model achieves breakthrough in forecasting cyclones WeatherNext enables accurate cyclone forecasts that can give an extra day of warning. Now we are open sourcing the model. Predicting how dangerous cyclones develop is a longstanding challenge where every hour counts. Tropical cyclones — also known as hurricanes or typhoons — are among the most destructive weather phenomena on Earth, responsible for m

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