AI news

Forecasting the future of forests with AI: From counting losses to predicting risk November 5, 2025 Drew Purves, Research Scientist, Google DeepMind, and Charlotte Stanton, Senior Program Manager, Google Research, on behalf of the ForestCast team --- We introduce the first deep learning–powered benchmark for proactive deforestation risk forecasting. Nature underpins our climate, our economies,…

From Waveforms to Wisdom: The New Benchmark for Auditory Intelligence December 3, 2025 Ehsan Variani, Senior Staff Research Scientist, Google Research The Massive Sound Embedding Benchmark (MSEB) is the definitive, open-source platform for measuring machine sound intelligence, unifying eight core capabilities — from retrieval and classification to reconstruction — to drive research past the current…

DS-STAR: A state-of-the-art versatile data science agent November 6, 2025 By Jinsung Yoon, Research Scientist, and Jaehyun Nam, Student Researcher, Google Cloud --- DS-STAR is a state-of-the-art data science agent whose versatility is demonstrated by its ability to automate a range of tasks — from statistical analysis to visualization and data wrangling — across various…

Generative UI: A rich, custom, visual interactive user experience for any prompt November 18, 2025 Yaniv Leviathan, Google Fellow, Dani Valevski, Senior Staff Software Engineer, and Yossi Matias, Vice President & Head of Google Research --- We introduce a novel implementation of generative UI, enabling AI models to create immersive experiences and interactive tools and…

Reducing EV range anxiety: How a simple AI model predicts port availability November 21, 2025 Kostas Kollias, Research Scientist, Google Research --- We developed a unique model to predict the probability that an EV charging port will be available at a given station within a certain number of minutes from the current time. This helps…

Differentially private machine learning at scale with JAX-Privacy November 12, 2025 Borja Balle, Staff Research Scientist, Google DeepMind, and Ryan McKenna, Senior Research Scientist, Google Research We announce the release of JAX-Privacy 1.0, a library for differentially private machine learning on the high-performance computing library, JAX. --- From personalized recommendations to scientific advances, AI models…

Hier is de herschreven en opmaakvrije tekst, geschikt voor een WordPress post: --- **Introducing Nested Learning: A new ML paradigm for continual learning** *November 7, 2025* *Ali Behrouz, Student Researcher, and Vahab Mirrokni, VP and Google Fellow, Google Research* --- We introduceren Nested Learning, een nieuwe benadering van machine learning waarbij modellen worden gezien als…

Hier is de herschreven en geformatteerde content, zonder HTML-opmaak, geschikt om te plaatsen op WordPress: --- **Real-time speech-to-speech translation** *19 november 2025* *Karolis Misiunas, Research Engineer, Google DeepMind, en Artsiom Ablavatski, Software Engineer, Google Core ML* We introduceren een innovatieve end-to-end speech-to-speech vertaalmodel (S2ST) die realtime vertaling mogelijk maakt in de stem van de originele…

Separating natural forests from other tree cover with AI for deforestation-free supply chains November 13, 2025 Maxim Neumann, Research Engineer, Google DeepMind, and Charlotte Stanton, Senior Program Manager, Google Research on behalf of the broader research team Natural Forests of the World 2020 is an AI-powered map that distinguishes natural forests from other tree cover.…

A new quantum toolkit for optimization November 13, 2025 Stephen Jordan and Noah Shutty, Research Scientists, Google Quantum AI, Google Research 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. --- From designing more efficient airline routes to organizing…