Microsocopy Hackathon3组队
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The third Machine Learning for Microscopy Hackathon runs Dec 15–17, 2026 in hybrid format: in person at 70+ host sites worldwide (universities and national labs across North America, Europe and Asia) or fully online. Interdisciplinary teams use AI and data-driven tools on real microscopy data — imaging, hyperspectral analysis, spectroscopy, automation, active learning and simulators. Challenges are released Dec 14; registration is open until Dec 13 (in-person sites close Dec 6). Free; no AI expertise required.
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Looking for材料实验物理表征
The full original listing below is in Chinese, as published in the Hack123 newsletter.
一句话简介:第三届「机器学习 × 显微镜」全球黑客松,组跨学科小队,用 AI 处理真实的显微镜成像和谱学数据。
看点:线上线下混合,全球 70 多个站点(佐治亚理工、俄亥俄州立、东京大学、KAIST、帝国理工等)可线下参加,也能全程线上;题目覆盖图像与高光谱分析、材料成像与谱学新问题、主动学习与实时分析、模拟器等;12 月 14 日放题,用 Slack + Miro 组队;不要求是 AI 专家,搞材料、物理表征的同学和写代码的同学正好互补;免费
奖金:官网未公布奖金,评审后 2027 年 1 月公布获奖队伍
截止日期:2026年12月13日(线下站点 12 月 6 日截止报名)
活动日期:2026年12月15日—17日(线上 + 全球各站点)
Summarized from the organizer’s page and public posts. Please confirm details on the official site before registering.