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#人工智能#的应用

如何在AI狂潮中投资
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原文来自美国Canaan风险投资基金的合伙人Rayfe。 AI热遍全球，到底是泡沫还是趋势，文章的三个主要观点：1）平台、算法和结果三者驱动AI发展 2）AI尚在早期 3）好的AI公司不仅拥有独特的数据和模型，同时具有颠覆特定行业的商业模式。

Artificial Intelligence (AI) is everywhere, from startups to enterprises, and even Hollywood. The search frequency of the term “Deep Learning” (DL) has grown 4x in the last two years. It seems to be the subject of every article (guilty), conference, and startup. It all feels a bit overhyped. Nonetheless, when you cut through this hype, AI is the next wave of innovation — and this is only the beginning.

人工智能（AI）无处不在，从创业公司到大企业，甚至好莱坞。 “深度学习”（DL）的搜索频率在过去两年中增长了4倍。它似乎是每一篇文章（我也有罪），会议和创业公司的主题。这一切都感觉有点过热了。尽管如此，当你透过亢奋的热潮看去，AI仍然是下一波的创新 — 这还只是开始。

Compounding Forces: Platforms, Algorithms, & Results 复合驱动力：平台，算法和结果

Over the last few years, we’ve seen the rapid development of AI platforms. Especially in the subfield of DL, where the differential equations behind backpropagation would make most developers’ heads spin, open source library TensorFlow empowers almost anyone to build the latest classifier and sophisticated conv-net. Today there are dozens of open source choices, ranging from university-led developments like Theano, Caffe, and DyNet, to company offerings such as TensorFlow, CNTK, and MXNet. As they compete to become the de-facto development platform, they push each other to improve functionality and feature sets. This competition is actually a Trojan horse within the enterprise. As these platforms become easier to use, AI will become more and more central to the enterprise.

在过去几年中，我们看到了AI平台的快速发展。特别是在深度学习子领域，