Gemini Deep Think 加速数学与科学发现
原标题：Accelerating Mathematical and Scientific Discovery with Gemini Deep Think
AI 摘要
Google DeepMind 发布 Gemini Deep Think 高级版本，与专家合作解决了 18 个研究问题中的长期瓶颈，涵盖算法、机器学习、组合优化、信息论和经济学等领域。该模型通过跨领域数学工具解决了 Max-Cut 和 Steiner Tree 等经典问题，推翻了 2015 年关于在线子模优化的猜想，并扩展了经济学中的启示原理。研究显示，AI 作为科学协作者，能加速数学和科学发现，相关成果已发表于论文并部分被 ICLR '26 接收。
正文节选
Collaborating with experts on 18 research problems, an advanced version of Gemini Deep Think helped resolve long-standing bottlenecks across algorithms, ML and combinatorial optimization, information theory, and economics. Highlights from our “Accelerating Research with Gemini” paper include (corresponding section numbers in paper): - Crossing mathematical borders for network puzzles: Progress on classic computer science problems like "Max-Cut" (efficiently splitting networks) and the "Steiner T