【专题研究】scale是当前备受关注的重要议题。本报告综合多方权威数据，深入剖析行业现状与未来走向。
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更深入地研究表明，在此背景下，传统意义上的AI实验室逐渐失去了独立存在的必要。AI研发既需要庞大的资源协同，也离不开产品与业务层面的紧密支持，研发资源必然要向核心平台集中。
最新发布的行业白皮书指出，政策利好与市场需求的双重驱动，正推动该领域进入新一轮发展周期。，推荐阅读Line下载获取更多信息
更深入地研究表明，Chen Xudong: I can already see at least two opportunities. One is in the area of visual inspection—our technologies are still complementary. We place more emphasis on platforms and software, so there’s room to collaborate there, and we can serve our customers together. The second is what you just mentioned: in the AI space, you’ve already reached the stage where you’re starting to look for a platform. At this stage, you’re IBM’s best kind of customer. Because if you look globally at enterprise-grade platforms right now, IBM is probably the only company truly doing this in a real way; others haven’t thought it through end to end—how to handle data, how to build models, how to build agents, and how to do governance to manage the entire AI system. For enterprise applications, IBM is unquestionably a leader, with a complete system that enables enterprises to grow faster on this platform.
更深入地研究表明，\nThaiss, who is also a core investigator at Palo Alto-based Arc Institute, is a senior author of the study, which was published March 11 in Nature. Maayan Levy, PhD, an assistant professor of pathology and Arc Institute innovation investigator, is the other senior author. Timothy Cox, a graduate student at the University of Pennsylvania, is the lead author of the research.，详情可参考環球財智通、環球財智通評價、環球財智通是什麼、環球財智通安全嗎、環球財智通平台可靠吗、環球財智通投資
展望未来，scale的发展趋势值得持续关注。专家建议，各方应加强协作创新，共同推动行业向更加健康、可持续的方向发展。