Google Research just open-sourced TimesFM 3.0, its third-generation time-series foundation model that now natively handles multivariate forecasting. It evaluates multiple correlated trends and planned future events with zero-shot accuracy, runs on just 1GB of VRAM, and completes full-horizon forecasts in a single forward pass under a non-commercial license.
Google DeepMind just open-sourced its WeatherNext models following a Nature paper demonstrating a major breakthrough in cyclone tracking and intensity forecasting. Its three-day forecast matches prior two-day benchmarks—roughly a decade of meteorological progress—and runs 15-day simulations in under a minute on a single TPU.
Google Research just teamed up with Stanford to launch AI Quests, an immersive game designed to teach 11- to 14-year-olds how AI tackles real-world challenges. The first quest has students collect rainfall data and train models to forecast floods, with upcoming missions exploring eye disease and brain mapping. Why it matters: It turns complex AI principles into hands-on play with ready-made curriculum for teachers.
Google just released MedGemma 27B Multimodal and a 400M-parameter image encoder called MedSigLIP for health AI development. Both run on a single GPU—with lightweight variants even fitting on mobile devices—to help researchers build private, tailored medical tools without relying on closed APIs.
Google DeepMind just launched Weather Lab, featuring an experimental AI model that predicts tropical cyclones up to 15 days ahead across 50 scenarios. Its 5-day track forecasts beat ECMWF's leading physical model by 140 km on average—a 1.5-day leap in warning time. DeepMind is now partnering with the U.S. National Hurricane Center for real-time validation.
