人工智能商业内参 003

「人工智能商业内参」旨在梳理当下人工智能商业化进程中的创新机会和变革契机,每周一、三、五出街。

揭秘苹果的人工智能

硅谷资深记者 Steven Levy 发布一篇长文,Levy 发现,人工智能已经深深植入到苹果的所有产品线里。Levy 同时也提到 Oren Etzioni 对苹果人工智能的不了解:

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Well, earlier this month, Apple did show where machine learning is being used in its products — not to Etzioni, but to me. (Oren, please read.) I spent the better part of a day in the boardroom of One Infinite Loop at the Cupertino headquarters, getting a core dump of the company’s activities in AI and machine learning from top Apple executives (Cue, senior worldwide marketing vice president Phil Schiller, and senior vice president of software engineering Craig Federighi), as well as two key Siri scientists. As we sat down, they handed me a dense, two-page agenda listing machine-learning-imbued Apple products and services — ones already shipping or about to — that they would discuss.

另一个案例则是 Siri 的变化,2014 年 7月之后,苹果将 Siri 迁移到基于深度神经网络的系统上,这使得 Siri 的识别率和反应速度更快。不过,外界对此并不知道:

As is typical with under-the-hood advances that may reveal its thinking to competitors, Apple did not publicize the development. If users noticed, it was only because there were fewer errors. In fact, Apple now says the results in improving accuracy were stunning.


超越Siri

曾经孕育过 Siri 的 SRI [1]还在计划新的人工智能研究

Now, SRI believes it can infuse AI into even more settings—shopping, banking, travel, business-to-business applications, and so on—allowing for deeply knowledgeable chatbots that know how to carry a conversation. The goal, says William Mark, SRI’s president of information and computing services, is to have assistants that are much better at specific tasks than a general-interest assistant like Siri.

但其实,SRI 到现在连个 Demo 都木有……


谁在推动深度学习?

深度学习座下的四大神兽 介绍了当下深度学习的四大推动力:

深度学习技术还将是未来计算机视觉、自动驾驶、语音识别等多个领域的核心技术。而深度学习实践的四个关键要素:计算能力、算法、数据和应用场景,就像四大护法神兽一样保证了深度学习的应用和实践,缺一不可。

事实上,深度学习是个非常古老的技术,而现在,它终于迎来自己的黄金时代。《华尔街日报》总结过当下深度学习的几个大拿:

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  1. SRI 的详细介绍  ↩