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China's first open-source large model in the marine field, OceanGPT (Cangyuan), was officially launched in Hangzhou, Zhejiang. This innovative achievement was developed by the National Key Laboratory of Marine Precision Sensing Technology at Zhejiang University, marking a significant step forward for China in the field of marine technology. OceanGPT has basic capabilities for answering questions about marine knowledge and can interpret multi-modal data such as sonar images and marine observation maps in natural language. This capability allows OceanGPT to perform exceptionally well when handling complex marine data. The model also adopts

Elon Musk's AI company, xAI, has recently sparked controversy in Memphis, Tennessee. The company is building a massive supercomputer in the area to support its operations. However, since the supercomputer became operational last summer, community residents and environmental activists have stated that the facility has become one of the main sources of air pollution locally. Image Note: Image generated by AI, image licensing service Midjourney. In response to these concerns, the Memphis City Health Department has scheduled a first public hearing for Friday.

The State Oceanic Administration recently announced that the National Marine Environmental Forecasting Center, in collaboration with the Ocean Press and 360 Digital Security Technology Group, has successfully developed and launched OceanDS, a large language model specializing in the marine field. Based on the 360 ZhiNao 13B and Deepseek-R1-70B large language models, OceanDS focuses on marine applications and has successfully passed expert review and been officially released. The emergence of OceanDS marks a significant step forward in the application of artificial intelligence technology in China's marine sector.

The research team successfully developed an AI-based detector that more accurately identifies floating plastics in the ocean using satellite images. Utilizing technologies such as deep neural networks, the detector provides more precise location data for cleaning up ocean plastics. By combining Sentinel-2 and PlanetScope images, it enables continuous monitoring of marine debris, offering dual views to improve drift direction models. Even under harsh conditions, such as cloud cover, the model can still accurately identify ocean debris, carrying significant environmental importance.