Small AI models let drones autonomously identify and attack battlefield targets
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
A NATO-backed startup is deploying small AI models on military drones that can identify and attack battlefield targets without relying on constant communication with central servers. The approach uses "federated learning," where drones and forward military bases run their own AI systems that learn from local sensor data and share updates with each other, allowing the models to improve during ongoing operations. This matters because it enables drones to operate effectively even when electronic warfare or jamming disrupts communications, and it avoids the vulnerability of depending on centralized data centers that could be destroyed. The technology has been tested in public demonstrations and military exercises, including on autonomous kamikaze drones that can detect targets and select priorities without direct human commands.
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