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Reducing EV range anxiety: How a simple AI model predicts port availability
We 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 …
Real-time speech-to-speech translation
We introduce an innovative end-to-end speech-to-speech translation (S2ST) model that enables real-time translation in the original speaker’s voice with only a 2-second delay β bringing …
Generative UI: A rich, custom, visual interactive user experience for any prompt
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 …
Separating natural forests from other tree cover with AI for deforestation-free supply chains
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 …
A new quantum toolkit for optimization
New theoretical work from Google Quantum AI shows that large scale quantum computers could solve certain optimization problems that are intractable for conventional classical computers.
Differentially private machine learning at scale with JAX-Privacy
We announce the release of JAX-Privacy 1.0, a library for differentially private machine learning on the high-performance computing library, JAX.
Introducing Nested Learning: A new ML paradigm for continual learning
We introduce Nested Learning, a new approach to machine learning that views models as a set of smaller, nested optimization problems, each with its own internal workflow, in order to mitigate or …
DS-STAR: A state-of-the-art versatile data science agent
DS-STAR is a state-of-the-art data science agent whose versatility is shown by its ability to automate a range of tasks β from statistical analysis to visualization and data wrangling β …
Six Key Components of UX Strategy
Letβs dive into the building blocks of UX strategy and see how it speaks the language of product and business strategy to create user value while achieving company goals. Part of the Measure UX …
Forecasting the future of forests with AI: From counting losses to predicting risk
We introduce the first deep learningβpowered benchmark for proactive deforestation risk forecasting.
Exploring a space-based, scalable AI infrastructure system design
Project Suncatcher is a moonshot exploring a new frontier: equipping solar-powered satellite constellations with TPUs and free-space optical links to one day scale machine learning compute in …
Accelerating the magic cycle of research breakthroughs and real-world applications
From earth science to genomics to quantum, we share the latest scientific breakthroughs from Google Research and how todayβs powerful AI tools and platforms are accelerating innovation.
Toward provably private insights into AI use
We detail how confidential federated analytics technology is leveraged to understand on-device generative AI features, ensuring strong transparency in user data handling and analysis.
StreetReaderAI: Towards making street view accessible via context-aware multimodal AI
We introduce StreetReaderAI, a new accessible street view prototype using context-aware, real-time AI and accessible navigation controls.
How we are building the personal health coach
The personal health coach is built with Gemini models to deliver personalized and adaptive coaching, grounded in science and informed by expert oversight.
Google Earth AI: Unlocking geospatial insights with foundation models and cross-modal reasoning
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, weβre sharing our latest …
A verifiable quantum advantage
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 …
A picture’s worth a thousand (private) words: Hierarchical generation of coherent synthetic photo albums
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.
Teaching Gemini to spot exploding stars with just a few examples
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 …
AI In UX: Achieve More With Less
A simple but powerful mental model for working with AI: treat it like an enthusiastic intern with no real-world experience. Paul Boag shares lessons learned from real client projects across user …