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Natural Forests of the World 2020 is an AI-powered map that distinguishes natural forests from other tree cover. This critical baseline helps governments, companies, and communities meet deforestation-free goals and protect ecosystems. Forests are vital for our planet as they regulate rainfall, mitigate floods, store and sequester carbon, and help sustain the majority of the planet’s […]
We present LAVA, a new scheduling algorithm that continuously re-predicts and adapts to the actual lifetimes of virtual machines to optimize resource efficiency in large cloud data centers. Imagine a puzzle game similar to Tetris with pieces rapidly falling onto a stack. Some fit perfectly. Others don’t. The goal is to pack the blocks as
Solving virtual machine puzzles: How AI is optimizing cloud computing Read More »
We introduce a novel implementation of generative UI, enabling AI models to create immersive experiences and interactive tools and simulations, all generated completely on the fly for any prompt. This is now rolling out in the Gemini app and Google Search, starting with AI Mode. Generative UI is a powerful capability in which an AI
Generative UI: A rich, custom, visual interactive user experience for any prompt Read More »
In a publication in Nature Astronomy, we show how Google’s Gemini model can be transformed into an expert astronomy assistant that classifies cosmic events with high accuracy and explains its reasoning in plain language, achieving 93% accuracy across three datasets by learning from just 15 annotated examples per survey. Modern astronomy is a treasure hunt
Teaching Gemini to spot exploding stars with just a few examples Read More »
We introduce a method for generating differentially private synthetic photo albums that uses an intermediate text representation and produces the albums in a hierarchical fashion. Differential privacy (DP) provides a powerful, mathematically rigorous assurance that sensitive individual information in a dataset remains protected, even when a dataset is used for analysis. Since DP’s inception nearly two decades
Google Researchers developed a unique model to predict the probability with which an EV charging port will be available at a certain station within a certain amount of minutes from the current time, which helps EV drivers plan their trips efficiently while minimizing waiting time at the charging stations. more on Google Research Blog
Reducing EV range anxiety: How a simple AI model predicts port availability Read More »
In our latest Nature publication, we introduce a new quantum computational task measuring Out-of-Time-Order Correlators (OTOCs). This work demonstrates a verifiable quantum advantage and paves the way for solving real-world problems like Hamiltonian learning in Nuclear Magnetic Resonance (NMR). Nature is brimming with chaos, a phenomenon characterized by the high sensitivity of a system toward small perturbations.
Google Earth AI is our family of geospatial AI models and reasoning agents that provides users with actionable insights, grounded in real-world understanding. Today, we’re sharing our latest Earth AI innovations and expanding access to these new capabilities on Google Earth and Google Cloud. For years, Google has developed AI models that enhance our understanding
The personal health coach is built with Gemini models to deliver personalized and adaptive coaching, grounded in science and informed by expert oversight. Historically, health and fitness journeys have been fragmented, generic and inaccessible, whether within existing apps or through general health and fitness journeys outside of apps. For instance, a primary care provider might
