Explainable AI For Autonomous Ship Navigation Aims To

Advancements in Explainable AI for Safer Autonomous Ship Navigation

Researchers at Osaka Metropolitan University have developed an explainable AI model to improve ship navigation safety. Their system quantifies and explains collision risks, building trust among maritime workers. This technology, vital for preventing disasters like the Titanic, aims to enhance safety and support the future of unmanned, autonomous ship operations.

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Advancements in Maritime Lubricants for Carbon Reduction and Regulatory Compliance

The maritime industry is evolving rapidly, with a strong focus on reducing carbon emissions and meeting stricter regulations. Fluid technology advancements are crucial in helping operators maintain reliable and compliant operations. The shift towards lower carbon-intensity fuels and synthetic EALs is ensuring both regulatory compliance and operational efficiency.

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