https://sputnikglobe.com/20250605/chinas-new-ai-torpedo-can-outsmart-decoys-to-destroy-real-threats-1122194880.html
China’s New AI Torpedo Can Outsmart Decoys to Destroy Real Threats
China’s New AI Torpedo Can Outsmart Decoys to Destroy Real Threats
Sputnik International
China is developing an AI-powered ultra-fast torpedo designed to dominate underwater warfare.
2025-06-05T07:39+0000
2025-06-05T07:39+0000
2025-06-05T07:39+0000
military
china
military & intelligence
torpedo
artificial intelligence (ai)
submarine
submarine warfare
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China is developing an AI-powered ultra-fast torpedo designed to dominate underwater warfare. Researchers from the PLA Navy and China State Shipbuilding Corporation combined physics with machine learning to teach a torpedo to think before striking. First, the team simulated decoy profiles using bubble-collapse and turbulence models.They subsequently trained AI with generative adversarial networks (GANs) to refine and detect acoustic fakes. The researchers then used deep-learning sonar analysis, converting signals into “spectral thumbnails” via a mathematical tool known as Fourier transforms, which breaks down a complex signal into its basic building blocks.The result:
https://sputnikglobe.com/20250429/pepe-escobar-china-steps-up-its-game-in-the-global-ai-race-1121952812.html
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china is developing an ai-powered ultra-fast torpedo, china's work on ai-powered torpedo, global ai race
china is developing an ai-powered ultra-fast torpedo, china's work on ai-powered torpedo, global ai race
China’s New AI Torpedo Can Outsmart Decoys to Destroy Real Threats
Today’s underwater battlespace is crowded with threats like decoys, jammers, countermeasures, and weapons. In these high-pressure environments, systems must quickly identify real targets from fakes to avoid wasted shots and mission failure.
China is developing an
AI-powered ultra-fast torpedo designed to dominate underwater warfare.
Researchers from the PLA Navy and China State Shipbuilding Corporation combined physics with machine learning to teach a torpedo to think before striking.
First, the team simulated decoy profiles using bubble-collapse and turbulence models.
They subsequently trained AI with generative adversarial networks (GANs) to refine and detect acoustic fakes.
The researchers then used deep-learning sonar analysis, converting signals into “spectral thumbnails” via a mathematical tool known as Fourier transforms, which breaks down a complex signal into its basic building blocks.
Boosted detection rates against advanced decoys from 61.3% to over 80%
The new system achieved a 92.2% success rate in identifying real submarines vs. decoys, a Command Control & Simulation report shows
