Core Insights - The launch of the "Kanhai" AI model and the multi-modal deep-sea habitat cognitive and exploration model aims to enhance understanding and prediction of deep-sea environments, addressing significant gaps in human knowledge about the deep sea [1][2] - The models leverage artificial intelligence and satellite remote sensing data to improve marine disaster warning accuracy and provide intelligent solutions for deep-sea protection [1] Group 1: Model Development and Features - The deep-sea cognitive model can intelligently simulate typical deep-sea habitats, such as seamounts and hydrothermal vents, and provide solutions for deep-sea conservation [1] - The "Kanhai" model integrates data from ocean satellites, offering a comprehensive view from the ocean surface to underwater environments, enhancing predictive capabilities for marine conditions [1] Group 2: Importance and Impact - The application of digital and AI technologies is expected to overcome traditional limitations in deep-sea observation, significantly improving efficiency in understanding deep-sea ecosystems and sustainable resource utilization [2] - The 2025 Xiamen International Marine Week serves as a platform for international collaboration to address challenges facing the oceans, such as climate change and biodiversity loss [2]