The new funding opportunities will distribute approximately $170 million advanced research powered by artificial intelligence.
When developing artificial intelligence and machine learning applications, agencies must ensure that the IT infrastructure is purpose-built, AI-ready and can scale on demand.
DroneAid uses visual recognition to detect and count SOS icons on the ground from drone video streams and automatically plots the emergency needs on a map for first responders.
Present in almost every agency, inspection functions are the perfect jumping-off point for artificial intelligence, machine learning and robotic process automation technologies.
A spike in demand for power caused by a coordinated attack on high-wattage internet-of-things devices could trigger transmission line failures and blackouts, but researchers at Princeton have a solution.
The General Services Administration is partnering with Pentagon's Joint Artificial Intelligence Center to accelerate government's use of artificial intelligence.
First responders are testing a NASA-developed artificial intelligence tool that can turn voice commands and images into data that facilitates emergency teams’ lifesaving work.
The U.S. Postal Service is considering integrating drones into its mail delivery fleet.
The Aerial Experimentation and Research Platform for Advanced Wireless will accelerate the integration of drones into the national airspace and enable new features, such as flying base stations for rapidly deployable wireless connectivity.
A decision tree algorithm predicts the final size of a blaze using climate data, crucial details about atmospheric conditions and the types of vegetation present around the starting point of a fire.
The Department of Health and Human Services built a recurrent neural network to help procurement staff make determinations on inherently governmental functions.
The Department of Transportation awarded $60 million to local projects under its Automated Driving Systems Demonstration Grant program.
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