Apple, in order to catch up with its own artificial intelligence (AI) technology behind the situation, to find Google's former AI director John Giannandrea as the director of machine learning and AI policy (Chief of machine learning and AI strategy). Finally Apple in the AI field of the problem, still need to find Google talent to solve. In fact, Giannandrea was found in April 2018, but not until July 10 to be "really apart" to become the official director. The future will be the AI field manager of the whole merger machine learning and Siri team according to Vanity Fair, Apple CEO Tim Cook, responding to the New York Times News of Giannandrea's appointment, said it agreed with Apple's commitment to privacy and to AI technology. Make Apple's computing device smarter and more humane. In fact, when Siri evolved from the first practical smart voice assistant to the AI technology that made Apple cumbersome, Apple really needed someone to "fix"siri. " Giannandrea future should be the manager of Apple machine learning and AI technology, two technologies corresponding to the two major products under iOS core ML and Siri. Core ml is Apple's development architecture for app developers, offering a variety of applications that have the ability to use machine learning on iOS devices to improve the experience with more robust handling. It is necessary for Apple to make the developer aware that the company offers the most resource-rich, development-accessible machine learning architecture. As far as Siri is concerned, it is the first AI technology to deploy applications on mobile devices, but it is quickly forgotten by the market. The verge observation of Giannandrea's experience, focused on natural language processing and information technology for users, is Siri's ability to excel. Natural language technology Titans Siri upgrade relies on its AI development capabilities Giannandrea participated in several new technology, its technical origins are quite worth mentioning. The first is Tellme, using speech recognition techniques to answer the speaker's general questions, such as weather or stock prices. The second was the metaweb that Google bought, and Metaweb's technology later became the cornerstone of Google's knowledge map (Google knowledge Graph). When the user uses Google search, the search results page on the right side will jump out of the corresponding image of the person and the Wiki content profile. The Verge reports that, as of 2015 years, the knowledge map answers a 3-point 2-component Google search question, which shows how important this technology is to Google. Giannandrea added rankbrain to help Google search for answers to questions that have never been asked; And a smart Reply that automatically replies to the letter and newsletter functions. All of these techniques are related to natural language processing, in fact, according to The Verge, Giannandrea, who was interviewed in 2017, commented that natural language understanding is "the holy grail of artificial intelligence". The Verge quoted analyst Benedict Evans in an article published in 2017, "How to look at Machine learning" (Ways to think about machine learning), referring to the three aspects of contemporary AI technology: one is " To provide better answers to questions posed by people. "The second is" allow people to ask questions unprecedented ", third is" allow people to query new types of data (such as audio, video, film) "As an intelligent voice assistant based on the vast number of mobile device users, Siri should fully meet the above requirements, And these skills happen to be owned by Giannandrea. Whether it's the man-machine nature conversation technology from Google Duplex, or Apple's Shortcuts app, which allows users to set more complex multitasking tasks and automatically trigger more practical recommendations, the application and development of Smart voice assistants is more than just a simple response and advice,
