The state plans to engage technology vendors to help businesses and state agencies use blockchain technology to distribute, share, and save ledgers and contracts.
Combining connectivity and automation promises to transform the movement of people and goods more effectively and safely than either could alone.
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.
Alphabet and Virginia Tech are teaming up to test food delivery at the Blacksburg campus, home of one of the six Federal Aviation Administration designated test sites.
A multidisciplinary team of university researchers is working to pull together a platform capable of scanning the massive numbers of images and videos posted online daily and verifying their authenticity.
Department 13 has launched a forensics service to help authorities examine drones suspected of illegal activity.
Nevada is looking for prototype solutions that can minimize vehicle-pedestrian collisions.
In recent months steganography has gotten more sophisticated with data hidden in music and in Instagram images.
The GCN Dig IT Awards celebrate discovery and innovation in government IT -- the cutting-edge technology and creative implementations that are supporting critical missions at all levels of the public sector.
Whether it’s meeting new technology challenges or taking the tedium or danger out of government operations, agencies are using automation to deliver services faster.
A new agreement gives university researchers direct access to NASA's Ames Research Center for the exchange of real-time UAS flight data.
Ohio is joining Minnesota, Connecticut and Delaware in testing how unmanned aerial systems can improve safety, reduce costs and increase efficiency in bridge inspections.
As satellite data and computing power increase, research agencies like NASA and the National Oceanic and Atmospheric Administration are supporting disaster response operations with real-time data and analysis.
Researchers hope to replace manual programming with computer-generated code based on users’ intent, which might be expressed as examples or via natural language commands.