• Source: Radiant Earth Foundation

Radiant Earth Foundation is an American non-profit organization founded in 2016. Its goal is to apply machine learning for Earth observation to meet the Sustainable Development Goals. The foundation works on developing openly licensed Earth observation machine learning libraries, training data sets and models through an open source hub that support missions worldwide like agriculture, conservation, and climate change. Radiant Earth also works on a community of practice that develop standards, templates and APIs around machine learning for Earth observation. According to scholar David Lindgren, the foundation "serves to make satellite imagery widely accessible and usable for development practitioners".
The Foundation is funded by Schmidt Futures, Bill & Melinda Gates Foundation, McGovern Foundation and the Omidyar network




See also


Earth Observation – Information about the Earth environment, remote or in situPages displaying short descriptions of redirect targets
Machine learning – Study of algorithms that improve automatically through experience
Big data – Extremely large or complex datasets
List of datasets for machine learning research – Machine learning based fault detection in Electronics CircuitPages displaying short descriptions of redirect targets




Notes






External links


"Radiant Earth Foundation – Earth Imagery for Impact". radiant.earth. Retrieved 2020-08-27.
"Satellites and AI Can Help Solve Big Problems—If Given the Chance" Retrieved 2022-07-11
"The billionaire philanthropists intent on using satellites to save the world" Retrieved 2022-07-11
"Use of artificial intelligence and machine learning in NASA" Retrieved 2022-07-11

Kata Kunci Pencarian:

• Penghargaan Arthur C. Clarke
• Radiant Earth Foundation
• Earth observation
• Foundation universe
• Radiant barrier
• Miss Earth
• A Radiant Curve
• Demerzel
• Stefan–Boltzmann law
• List of Foundation series characters
• John Tyndall