Towards ecologically meaningful foundation models
摘要
Gardiner 等人提出构建生态学基础模型,将大规模多模态生态数据集与生态学理论结合,以生成更具泛化能力和预测能力的模型。相关观点发表于 Nature Machine Intelligence,针对的是生态数据与理论分散于不同来源、尺度和方法、难以做出广泛预测的问题。
摘要由模型根据原文撰写,以原文为准。
正文 · 原文
Nature Machine Intelligence, Published online: 06 November 2026; doi:10.1038/s42256-026-01317-6
Ecology struggles to make broad predictions, as ecological data and theories are scattered across many different sources, scales and approaches. Gardiner et al. propose to create ecological foundation models, which combine large, multi-modal ecological datasets with ecological theory, as a way to create more generalizable and predictive models.
注意转载授权 · 阅读原文
来源:Nature Machine Intelligence · nature.com
引用原文
Ross J. Gardiner. Towards ecologically meaningful foundation models[EB/OL]. (2026-11-06)[访问日期]. https://www.nature.com/articles/s42256-026-01317-6.