An AI tool is set to start advising air traffic controllers on managing air traffic in the congested airspace above the Washington, DC, area. The expected launch would be the first step toward a planned nationwide rollout covering the 29 million square miles of US national airspace overseen by the Federal Aviation Administration.

The FAA describes the SMART system as using AI models to predict air traffic flows and identify potential conflicts based on operational factors like airline schedules, weather, airport capacity, and airspace conditions. US government and industry officials told The Wall Street Journal that SMART could debut for the three major airports in the Washington, DC, area as soon as Monday, September 21.

The decision to launch SMART in a limited scope before going nationwide is the “right call,” said Philip Mann, principal consultant at Vector Strategic Consulting LLC, where he advises on aviation safety and AI governance. Mann previously worked at the FAA in multiple roles for 17 years.

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As European militaries adapt to the use of AI and drones in modern warfare, a NATO-backed startup is helping to deploy AI-driven target detection and selection that can run on small drones for surveillance and attack missions.

The company, Scaleout Systems, was originally founded by researchers from Uppsala University in Sweden in 2018, and initially focused on training and deploying machine learning models directly on the hardware available in commercial trucks and other vehicles. But once Russia launched its full-scale invasion of Ukraine in 2022, the company pivoted toward defense applications.

“With the war in Ukraine and a shifting world, we realized that this technology can be very important to operationalize edge data and sensor data for machine learning to make sure that NATO allies have found that strategic advantage,” Andreas Hellander, cofounder and CEO of Scaleout Systems, told Ars.

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