Researchers at MIT are working on a tool that may help city planners and traffic managers better anticipate potential traffic problems by analyzing cellphone signals.
In recent months steganography has gotten more sophisticated with data hidden in music and in Instagram images.
By monitoring the electromagnetic emissions produced by sensors on the Internet of Things, researchers hope to be able to detect when those devices have been compromised.
Developed by University of Florida researchers, CryptoDrop can halt a process that appears to be tampering with a large amount of the user’s data.
By assembling historical imagery and data, GIS specialists will be able to run time-series analyses of changes in vegetation, land use/land cover changes and land surface temperatures.
By monitoring the use of selected hashtags on social networks, researchers were able to track activity of ad hoc groups of extremists without having access to the individuals’ profiles.
Mapillary applies artificial intelligence to crowdsourced street-level photos to create intelligent, navigable imagery of communities around the globe.
Researchers from the University of Southern California have developed applications for the Transportation Security Administration to protect airports and for the U.S. Coast Guard to defend ports.
With detailed descriptions of how software is expected to behave, researchers believe they can verify its operations and eliminate bugs.
Seismic Concern collects data on the physical environment and integrates time- and location-sensitive population information to immediately deliver a report on earthquake hot spots to subscribing localities.