核心的瓶颈首先在于精度问题。目前技术虽然在不断进步,但在打印精细结构或大尺寸零件时,依然难以达到高精度装配所需的公差要求及优秀的表面质量要求,这直接导致了打印件难以直接作为最终功能部件使用。
Therefore, Ahmed, who is based in London, said it was difficult without more research to know exactly what is behind the rise in cases.
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Google says that Nano Banana 2 has more advanced world knowledge, a description that also calls to mind Google's recent world model Project Genie. "The model pulls from Gemini’s real-world knowledge base, and is powered by real-time information and images from web search to more accurately render specific subjects. This deep understanding also helps you create infographics, turn notes into diagrams and generate data visualizations."
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Guy Edwardes SDNPA
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