In an era of accelerating environmental change, the need for fast, accurate, and holistic understanding of ecological systems has never been more urgent, or more achievable. Leading this charge are Ecological Foundation Models – AI systems that decipher the fundamental principles of ecosystems by processing diverse data streams, including satellite imagery, climate histories, sensor readings, and data on the sensory ecology of its inhabitants.
Learning the intricate relationships within these complex, multimodal datasets creates the potential for predictive, scalable insights and a deeper understanding across all environmental disciplines.
Nick Aflitto 