According to The Rundown AI, NASA and IBM released an open AI model to map Moon ice in shadowed craters, aiding missions and in situ resource use.

According to AI at Meta on X, Meta has open sourced CHMv2, a global canopy height model already supporting public sector programs in the United States and Europe to inform carbon offsetting, reforestation, and land management decisions; the announcement directs readers to the research paper for technical details. As reported by AI at Meta, making CHMv2 openly available is intended to accelerate remote sensing research and improve monitoring workflows for forestry and climate agencies. According to AI at Meta, the model’s public release creates opportunities for AI developers and geospatial firms to integrate canopy metrics into MRV systems, climate risk analytics, and nature-based solutions marketplaces.