A recent report from the Center for Data Innovation discusses the importance of broad, holistic strategies to direct development of the Internet of Things.
With the Food and Drug Administration’s precisionFDA cloud-based, open source platform, researchers can collaborate to advance the diagnosis and treatment of genetic disease.
The network of connected IT and operational technology has the power to enable perimeter defense, smart factories, supply chains, asset tracking systems, power grids, intelligent transportation systems and smart cities.
In support of data-driven decision making, a new tool from OpenGov lets officials compare their performance with that of their peers.
The Department of Transportation’s Smart City Challenge will award up to $50 million to a medium-sized city to develop a data-driven transportation infrastructure.
SAS Visual Analytics helped researchers at NASA’s Goddard Space Flight Center sift through sun simulation data to identify points of interest and find relevant data relationships.
The Department of Defense is continuing to build out the Defense Acquisition Visibility Environment to replace its legacy reporting system.
The Defense Advanced Research Projects Agency aims to provide a deeper understanding of system component interactions and a unified view of system behaviors.
Personal voter information of more than 6 million voters in Georgia was illegally disclosed in due to a “clerical error.”
Researchers have developed a way to store and represent trajectories so that computers can compare them more efficiently -- helping human analysts separate signals from noise.
As local governments ramp up spending on IoT solutions, the return on investment financially, socially and economically shows a promising trend.
Deputy Secretary of Defense Robert Work said future automation will increasingly include human-machine collaboration.
NASA has released an RFI seeking suggestions on the architecture for its Planetary Data System.
According to IARPA Director Jason Matheny, researchers are making progress, but high-performance computing, machine learning and causality still need work.