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Digital Twins, Radar Simulation and the Training Layer Behind Cognitive EW

As defence organisations prepare for Eurosatory 2026, one of the central questions is how modern forces can train for electronic warfare environments that are becoming faster, denser, and more adaptive.

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Teaching AI with Radar Data: Classifying Objects with FreeScopes AI

Artificial intelligence is often explained with abstract examples: cats and dogs, handwritten digits, or large public image datasets. These examples are useful, but they do not show how AI can be taught in a technical radar environment. In this short video, we demonstrate how FreeScopes AI turns real radar measurements into a practical machine-learning exercise: students collect and label data from three radar targets, train a neural network, and use it to classify the measured objects.

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Explainable AI in Radar and Electronic Warfare Training

Artificial intelligence is becoming increasingly relevant in radar, electronic warfare, and spectrum analysis. Machine learning methods can support pattern recognition, anomaly detection, signal classification, and decision support in complex electromagnetic environments.

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Why ECCM Training Matters in Contested Electromagnetic

Radar resilience is no longer defined only by hardware performance. In modern defence environments, the more important question is how well a radar system, its processing chain, and its operators can respond when the electromagnetic environment changes.

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SkyRadar at Eurosatory 2026: Cognitive Radar, ECCM, and EW Training Technologies

Eurosatory 2026, taking place 15–19 June 2026 in Paris, will bring together defence organisations, research institutes, and industry partners working on technologies for sensing, protection, and spectrum operations. Among the key themes shaping modern defence capabilities are cognitive radar, electronic counter-countermeasures (ECCM), and electronic warfare (EW).

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FreeScopes AI I: Learning Artificial Intelligence Through Radar Signals

 FreeScopes AI I introduces neural networks through radar signal analysis. Build, train, and evaluate AI models visually without programming.

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FreeScopes AI in Action: Code-Free Radar AI in Seconds (Video)

FreeScopes AI enables engineers to build and deploy AI for radar and sensor data without coding. A short demonstration shows rapid object classification in practice.

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Hedgehog 2025 Exposed NATO’s C4ISR Gap and the Demands of Modern Warfare

In May 2025, the multinational field exercise Hedgehog 2025 (also known as Siil 2025 in Estonia) brought together more than 16 000 personnel from 12 member states of the North Atlantic Treaty Organisation. With scenarios centered on a simulated incursion across Estonia’s eastern border, the drills were intended to test European deterrence and defense concepts under high pressure (Defence24.com, 17.02.2026).

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From Cooperation to Collaboration - Discussing AAE Opinion No. 18, “Collaborative Air and Space Combat Operations in Europe”

AAE Opinion No. 18, “Collaborative Air and Space Combat Operations in Europe” calls for collaborative air and space combat structures in Europe; this article examines its implications and outlines a platform-based C4ISR response.

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