ARTFEED — Contemporary Art Intelligence

TerraNova: A Foundation Model Coupling Earth and Societal Data

ai-technology · 2026-08-03

TerraNova, a newly developed foundation model, seeks to represent the Earth and human societies as an interconnected system, tackling a significant issue of the Anthropocene. Detailed in a paper available on arXiv (2607.29527), the model utilizes 1,024 records from both physical and societal domains, comprising 512 Earth-system fields and 512 national indicators, all in their original geometries. A primary advancement is its ability to resolve the geometric discrepancies between continuous Earth-system data and societal information based on administrative units, which previously necessitated lossy averaging. TerraNova employs specialized encoders for location, country, time, and task, integrating them through cross-modal transformers into a unified spatiotemporal framework. Additionally, a hypernetwork creates a per-query decoder with an evidential head to provide a predictive distribution, while two contrastive objectives link the representations, allowing for accurate modeling across borders without information loss.

Key facts

  • TerraNova is a foundation model for the Anthropocene.
  • It is trained on 1,024 physical and societal records.
  • The records include 512 gridded Earth-system fields and 512 national indicators.
  • The model uses dedicated encoders for location, country, time, and task.
  • Cross-modal transformers fuse the encodings into a shared spatiotemporal state.
  • A hypernetwork generates a per-query decoder with an evidential head.
  • Two contrastive objectives couple the representations.
  • The paper is available on arXiv with ID 2607.29527.

Entities

Institutions

  • arXiv

Sources