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John Platt 谈 Google ERA:用 AI 优化可评分科学问题

原标题:🔬 An Oscar, Two Asteroids, and the Algorithm in Your sklearn: John Platt on AI for Science

Latent Space研究质量 72

AI 摘要

Latent Space 播客采访了 Google 研究员 John Platt,他介绍了团队开发的 Empirical Research Assistance(ERA)系统。ERA 将可写成评分函数的科学问题转化为优化任务,利用 Gemini 维护实验树并通过类似蒙特卡洛树搜索的方式迭代改进代码,已帮助解决至少十个科研问题并发表多篇论文。访谈还讨论了 ERA 在气候变化领域的应用,包括减少飞机凝结尾迹对全球变暖的影响,以及 FireSat 卫星火灾监测项目。

以上摘要由 AI 生成,可能存在误差。事实请以原文为准。

正文节选

How often do you get to talk to a guest who has both an Academy Award and who invented textbook machine learning algorithms? John Platt has an Oscar, two textbook algorithms, two named asteroids, and an Erdos-Bacon number of 6. This was easily the most fun bio of all the guests we’ve read to date. And the result was an epic and fun chat covering Google’s Empirical Research Assistance (ERA), how AI can help battle climate change, and tons of great stories about the co-evolution of science and AI.


发布时间:2026-09-23 05:07
抓取时间:2026-09-23 05:18
来源机构:swyx and Latent Space
阅读原文latent.space