According to Google DeepMind, their new AI model leverages sophisticated embeddings—unique numerical identifiers—to learn and differentiate global geographic features by analyzing multi-modal data such as optical, radar, and 3D inputs (source: Google DeepMind, July 30, 2025). This approach enables precise identification of environmental characteristics, like distinguishing sandy beaches from deserts, and represents a major advancement in geospatial AI applications. The practical implications include enhanced land use mapping, disaster response, and environmental monitoring, unlocking significant business opportunities for industries reliant on accurate geospatial intelligence.