Xiaomi continues to stand out for its commitment to innovation and the development of cutting-edge solutions. Recently, the company took a significant step into the field of artificial intelligence and device connectivity with the trademark application “HyperMind“. This move indicates a broadening of Xiaomi's vision regarding the future ofinteraction between the user and the technology, incorporating advanced AI solutions into its own HyperOS operating system.
The key role of Xiaomi HyperMind in HyperOS
The ambitious HyperMind project, which is part of the larger HyperOS ecosystem, aims to revolutionize the way users interact with Xiaomi devices. HyperMind will act as an intelligent analytical center, collecting data from a wide range of connected devices. Through the analysis of this information, the system will be able to proactively learn user habits and preferences. This will allow Xiaomi devices to offer personalized experiences and anticipate user needs, making interaction with technology more intuitive and fluid.
Let the devices around you become the tentacles to perceive the world, unified thinking, multidimensional perception and judgment, active learning of user habits, and proactive people-centered services, so that devices can better understand people
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The integration of HyperMind into HyperOS represents a significant advance in the field ofartificial intelligence. This system not only collects data, but analyzes it and uses it to improve the user experience.
For example, it can adapt a device's settings based on daily usage habits, suggest apps and features based on past behavior, or even predict future needs of users. In this way, HyperMind is not just a passive component of the operating system, but a active actor (sorry for the cacophony) which contributes to greater customization and efficiency in the use of Xiaomi devices.
Main new features of HyperOS
HyperOS has revamped its four main subsystems, significantly improving the user experience. The first, the graphics subsystem, now supports high-quality rendering effects, including more delicate and realistic color blurring and detailed simulation of light and shadow changes, making animations extremely smooth.
The second improvement concerns the file subsystem, which now maintains high IO performance for 50 months, increases third-party app loading speed by 15%, reduces space required for OTA updates by 79%, and reduces time to OTA update by 24%.
The third is the network subsystem, which effectively reduces lag and disconnection issues in various scenarios: the lag in high-speed video conferencing decreased by 42%, that in WeChat video by 20%, the average lag in gaming by 39%, and the Wi-Fi bandwidth Peak domestic Fi increased by 19%.
Finally, the memory subsystem, through advanced techniques such as hierarchical acceleration and timely recycling, has significantly reduced application startup time and increased the number of applications that can be managed in the background.
