Putting Earth AI to work: geospatial agents for our planet's biggest challenges
Google Research describes geospatial AI agents built on its Earth AI work and aimed at major planetary challenges.
Google Research describes geospatial AI agents built on its Earth AI work and aimed at major planetary challenges.
Google Research highlights ten ways its work aims to amplify human ingenuity, as part of its Research@ 2026 event.
Google Research presents Deep Review, a tool for analyzing technical documents.
A post on the Hugging Face blog presents HiRO-ACEv2, a model for simulating extreme weather at 3 km resolution at a fraction of the usual cost.
Physics-based and AI weather models usually lose reliability beyond two weeks. Microsoft researchers say they have found a cost-effective machine-learning method for more accurate forecasts two to six weeks ahead, which could help farmers and emergency responders.
A new machine-learning approach set records for weather forecasts two to six weeks ahead, MIT News reports. That window is especially important for emergency planning.