比推消息，据官方消息，由 CTO Ming Wu 领衔的 0G Labs 研究部门与微软研究院在人工智能研究上的首次合作成果已被 FSE 2025 的“创意、愿景与反思”板块接受。该论文提出了一种创新想法，将类似 FlashAttention 的优化方法推广到分布式 map-reduce 框架中，以实现其自动化。公开的最终版本将很快发布。 据悉，FSE 2025 指的是“Foundations of Software Engineering”（软件工程基础）会议，是软件工程领域的顶级学术会议之一。被“Ideas, Visions, and Reflections”板块接受，意味着这篇论文更偏向于提出前瞻性的概念或创新思路，而非传统的实验性研究。 这项工作为未来的 AI 模型训练和软件工程实践带来重要影响，尤其是在需要处理海量数据的场景下。自动化的优化可以显著降低开发成本和时间。
Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.