By Ross Bernet and Andrew Fink-Miller on January 23rd, 2020
We created a map that shows the difference between two building footprint datasets of Cambodia: OSM and Orbital Insights' AI generated dataset.
By Niki LaGrone on January 17th, 2020
From predicting outbreaks of infectious disease to predicting the likelihood of an asthma attack, Geospatial AI and medicine are transforming healthcare.
By Simon Kassel on January 16th, 2020
We partnered with Driven Data and the World Bank to develop the Open Cities AI Challenge. This challenge uses machine learning to extract building footprints in unmapped areas to promote disaster resilience.
By Joe Morrison on January 2nd, 2020
Every project with satellite imagery begins with a data source. Here's a rundown of the best options, considering cost, usability, and resolution.
By Joe Morrison on December 13th, 2019
How accurate are our supervised machine learning models and what are they really doing? We offer 3 tips to help you better understand these models.
By Niki LaGrone on December 10th, 2019
ML's predictive powers are driving a rage for deep learning in the crisis management and disaster relief industries. How can these powers be harnessed for ethical machine learning?