methodology Compared with the end product, the biggest

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‍ Apple spent half of the nearly two-hour main forum speech on artificial intelligence. At 1:00 a.m. on July 1, Beijing time, the Apple Developer Conference opened in Cupertino. If the limelight of last year's developer conference was still on the M devices, this year Apple, which has been criticized for lagging behind its peers in the field of artificial intelligence, finally released a large number of products and features related to artificial intelligence. For example, the new one can understand the context and conduct multiple rounds of dialogue, can transfer information between multiple people, and has access to the ability of htT; for example, it can automatically classify emails and generate reply content, voice memos can be transcribed into text and summaries, support image search and image removal, and support automatic arrangement of videos.



Apple is connecting these capabilities with iran telephone number various scenarios and scenarios in the mobile phone. Although there are not many eye-catching things, Apple and other terminal manufacturers have a great advantage that they do not need to create demand and scenarios, but only need to use the many pain points that already exist on the mobile phone to bring users a different experience. Apple used a very tricky word to summarize these capabilities - t tries to cultivate the user's mind into t Apple intelligence equals tt artificial intelligence. How will it change the h experience? An hour into the press conference, Apple finally started to release t and the application scenarios were introduced at the forefront.




How to define the end product and the end product manager feature of the end product is that it is aimed at users in specific fields and the number is much smaller, but it pays more attention to the in-depth mining of the user's professional field operation process - that is, it is more professional and more closely integrated with the business. View details > The first is to generate emoticons and pictures. When users can't find the right emoticon to express what they want to express, they can freely create their own emoticons through natural language.