美国海军与AI公司达成协议，训练水下无人机探测霍尔木兹海峡水雷
美国海军与Domino Data Lab公司签署了一项9970万美元的协议，旨在利用人工智能技术加速水下无人机学习和识别新型水雷的能力。
该技术将主要应用于霍尔木兹海峡，以应对伊朗限制油轮和货物运输的威胁。
软件将整合侧扫声纳和视觉成像系统等多传感器，实现实时监测和快速纠错，避免长时间的实验室训练。
Domino Data Lab的CEO表示，该平台能够让海军在短短一周内部署水雷探测无人机，而传统方法需要一年时间。
UUV（水下无人车辆）的训练模型迁移也大幅缩短。
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The U.S. Navy just signed a $99.7 million deal with Domino Data Lab, a San Francisco-based startup, to develop AI tech that would allow its undersea minesweepers to learn about new and unseen mines in days instead of months. Reuters reports that this new technology is intended for use in the Strait of Hormuz, a key chokepoint in global sea lanes that Iran has mined to limit the movement of oil and cargo ships since the start of the U.S.-Iran war earlier this year.The software will use multiple sensor suites, such as side-scan sonar and visual imaging systems, to monitor various other AI detection models operating in the field. This should allow operators to identify failures and push corrections as it operates, rather than sending information back to a lab and waiting for AI developers to train a new model to handle novel threats. "Mine-hunting used to be a job for ships. It's becoming a job for AI. The Navy is paying for the platform that lets it train, govern, and field that AI at a speed required for contested waters that block global trade and imperil sailors,” Domino CEO Thomas Robinson told the news outlet. "If there were UUVs (unmanned underwater vehicles) in the Baltic Sea trained on Russian mines, and then they needed to be deployed to the Strait of Hormuz to detect Iranian mines, with Domino's technology, the Navy could be ready in a week rather than a year."Article continues below
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