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The Association of Old Crows (AOC) wants to make our podcast the best it can be. To help us succeed, we'd like to hear your thoughts. Please take just a few minutes to complete our 2025 listener survey because your opinion is very important to us.
Artificial intelligence burst into mainstream awareness less than three years ago with tools like ChatGPT and image generators such as Google Gemini. However, AI — particularly machine learning — has been shaping electromagnetic spectrum operations (EMSO) for decades.
In this episode of From the Crows’ Nest, host Ken Miller dives into the cutting edge of AI in next-generation EMSO systems with Rob Hyland, Principal Scientist and Director of Program Transition at Charles River Analytics.
Rob discusses how “hybrid” AI is revolutionizing EMSO, enabling systems to learn entire segments of the electromagnetic spectrum, accelerate upgrades, and enhance adaptability. He also highlights the challenges of applying AI to modern threats, stressing the urgent need for specialized talent to model, train, and integrate AI within the defense sector.
To learn more about today’s topics or to stay updated on EMSO and EW developments, visit our homepage.
4.9
2828 ratings
The Association of Old Crows (AOC) wants to make our podcast the best it can be. To help us succeed, we'd like to hear your thoughts. Please take just a few minutes to complete our 2025 listener survey because your opinion is very important to us.
Artificial intelligence burst into mainstream awareness less than three years ago with tools like ChatGPT and image generators such as Google Gemini. However, AI — particularly machine learning — has been shaping electromagnetic spectrum operations (EMSO) for decades.
In this episode of From the Crows’ Nest, host Ken Miller dives into the cutting edge of AI in next-generation EMSO systems with Rob Hyland, Principal Scientist and Director of Program Transition at Charles River Analytics.
Rob discusses how “hybrid” AI is revolutionizing EMSO, enabling systems to learn entire segments of the electromagnetic spectrum, accelerate upgrades, and enhance adaptability. He also highlights the challenges of applying AI to modern threats, stressing the urgent need for specialized talent to model, train, and integrate AI within the defense sector.
To learn more about today’s topics or to stay updated on EMSO and EW developments, visit our homepage.
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