Accelerating the magic cycle of research breakthroughs and real-world applications

Last week at our flagship Research@ event in Mountain View, we shared some of Google Research’s latest announcements, from understanding earth to advancements in genomics to advancements in quantum computing. Working collaboratively with colleagues across the company, our teams drive breakthrough research and accelerate real-world solutions for products, businesses, science and society. As research comes to reality, we uncover new research opportunities, driving innovation further and faster. I call this powerful, cyclical relationship between research and real-world impact the magic cycle of research.

This cycle is accelerating significantly these days, propelled by more powerful models, new agentic tools that help accelerate scientific discovery, and open platforms and tools. We see this momentum across domains.

Our latest research breakthroughs

At Research@MTV last week, we highlighted three of our latest breakthroughs: Google Earth AI, DeepSomatic, and Quantum Echoes.

Google Earth AI: Unprecedented planetary understanding

Earth AI is a powerful collection of geospatial AI models and reasoning designed to address critical global challenges; it gives users an unprecedented level of understanding about what is happening across the planet.

For years we’ve been developing state-of-the-art geo-spatial AI models including floods, wildfires, cyclones, air quality, pollen, weather nowcasting and long range forecasting, agriculture, population dynamics, AlphaEarth Foundations and mobility. These models, developed by teams across Google, are already helping millions of people worldwide and we keep making progress. We have just expanded access to our new Remote Sensing Foundations and new global Population Dynamics Foundations. And we can now share that our riverine flood models — expanded over the years to cover 700 million people in 100 countries — now provide forecasts covering over 2B people in 150 countries for significant riverine flood events.