Algorithmic Warfare: “Imagine” and “Implement”
Though conceptual Artificial Intelligence (AI) has been around since the 1950’s, its methods were not adopted by the United States Department of Defense (DOD) until recently.
Though conceptual Artificial Intelligence (AI) has been around since the 1950’s, its methods were not adopted by the United States Department of Defense (DOD) until recently.
Picterra offers a relatively easy to use interface that allows users train AI on satellite and aerial imagery to detect features.
Radiant Earth has launched Radiant MLHub, a cloud-based open library for training geospatial data used by machine learning algorithms.
There is no easy solution for earthquake prediction, but machine learning in particular has made forecasting far better.
One way to improve traffic is to integrate technologies within autonomous cars, particularly as they are forecast to be soon on our streets, including sensors for driving, and information from different external sources.
Machines can learn ‘wrong’ or biased information, creating large problems and poor conclusions when it comes to spatial data.
Researchers from Facebook and MIT Labs have proposed a new methodology that uses machine learning and satellite imagery to generate street addresses in areas of the world where individual buildings don’t have a unique address.
Researchers have developed a method of modeling tree species distribution in Peruvian lowland Amazonia using satellite imagery and machine learning techniques.
The Deep Learning-based Hurricane Intensity Estimator is an experimental portal that uses machine learning techniques to analyze spatial patterns in infrared satellite imagery in order to predict tropical cyclone intensity.
A growing number of startups are developing new approaches to advanced spatial analysis for everyday solutions across many fields and industries.
New techniques in GIS, remote sensing, and machine learning are incorporating land-based data along with temperature, precipitation and other weather factors in developing more accurate fire prediction models.
Recreating a ground-level image and perspective using satellite imagery has only recently been developed.