机器学习和基础学科交叉在近年受到越来越多的关注。能够从大量数据中学习的 AI，是否能够像人类一样，从数据中发现规律？当神经网络被用于解决物理问题时，是否有可能学习到物理知识？近日，来自加拿大蒙特利尔大学的研究人员给出了肯定的回答。该工作在研究 AI 如何完成翼型气动系数预测任务过程中，发现了神经网络...

我们请来了2017 NIPS大会发文数全球前3的华人教授，讲解网络数据的表征学习（视频+PPT）

2017 NIPS大会可以算得上全球声量最大、出席人数最多的AI学术会议了。大会刚刚落下帷幕，不少媒体和社区都总结了本次会议相关数据，比如，大会发文数：图：最有声望、出席人数最多的AI学术会议-NIPS 今年大会发表文章最多的作者排名。来源： https://unsupervisedmethod...

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