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    You are at:Home»NEWS»Xiaomi XiaoAI advice finally adapted to Mediatek models: Redmi K50 series and so on
    NEWS

    Xiaomi XiaoAI advice finally adapted to Mediatek models: Redmi K50 series and so on

    Brady CottonBy Brady CottonJuly 6, 2023
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    Before Xiaomi mobile phone launched the small love suggestion function, compared with the traditional small love students can achieve more independent suggestions and functions, so that the mobile phone is more intelligent.

    Unfortunately, in the upgrade list officially announced by Xiao Ai last month, only Xiaomi 13, Xiaomi 12,  Xiaomi 11, Redmi K60 Pro and other Qualcomm models are suitable.

    According to the latest user feedback, Xiao Ai suggested that the recent upgrade finally ushered in, and joined the support for Mediatek models.

    According to reports, the Redmi K50, Redmi K50 Pro, Redmi K50i, Redmi Note 10 Pro, Redmi K40 game enhanced version, Redmi Note 12 Pro speed version, millet Civi 3 and other products equipped with Guet chips have been supported.

    In addition, the new version also adds three major functions: provide users with commuting road conditions and common App recommendations when they get on the bus, and support to create reminders to get on the bus; Based on the existing parking assistant scene, support to create exit reminders; Remind users to open air purification equipment according to indoor and outdoor air quality.

    Xiao Ai suggested that it could provide efficient suggestions on the desktop according to the user’s habits and location, such as supporting food ordering reminders, medication reminders, parking assistants, food shelf life, attendance clock reminders, etc., with cumulative coverage of 20+ scenes.

    Based on the local cognition engine, it can sense the geographical location of users in real time (at home, to the subway station), predict user scenarios, and learn user habits and preferences.

    The most important thing is that the function is fully localized, with powerful end-to-end computing power to control sensitive data in the machine (not on the cloud), and does not involve the user’s personal privacy disclosure.

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