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Charles River to Develop AI Submarine Detection System for US Navy

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According to the report the US Navy has awarded Charles River Analytics $1 million to develop a tool that uses artificial intelligence (AI) to identify adversary submarines by their magnetic signals.

The report also stated that unlike traditional acoustic detection methods, the Guidance for Naval Enhancement of Tactical Operations (MAGNETO) tool exploits the fact that submarines, made of ferromagnetic materials, distort the Earth’s magnetic field.

The report added that it’s equally important to distinguish submarine signals from those of large boats or sunken shipping containers. AI plays a critical role here by enabling the creation of unique signatures for submarine detection.

Dr. Todd Jennings, Research Scientist at Charles River and Principal Investigator of MAGNETO, said that the biggest advantage of MAGNETO is that it allows them to detect ultra-low-noise submarines reliably, quickly, and efficiently while minimizing risk to the warfighter.

Additionally, MAGNETO employs a hierarchical process, progressively refining signal identification through successive stages. This structured approach allows the system to process data in real time, ensuring that only relevant signals advance to more detailed analysis.

Source: NextGen Defense

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