Google Research has published a blog post outlining Earth AI, a system that processes geospatial imagery—pixels—and converts the data into structured plans for restoring natural ecosystems. The work sits at the intersection of remote sensing, machine learning, and conservation science. It aims to help ecologists, land managers, and sustainability planners identify, prioritise, and act on restoration opportunities at scale.
In April 2026, an Earth observation satellite independently identified its target without ground direction — reportedly the first time this has ever occurred in orbit. The milestone signals a meaningful shift toward onboard AI inference in space systems, reducing reliance on bandwidth-intensive communication links with the ground. TechCrunch frames the event as a landmark moment and explores its broader implications for next-generation autonomous satellite operations.
The Allen Institute for AI (AI2) has officially released OlmoEarth v1.1 on Hugging Face. This is a brand-new family of open-source foundation models designed…
Google DeepMind recently published a new AI foundation model called "AlphaEarth Foundations," representing a major breakthrough aimed at fundamentally…