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据财联社报道,科技巨头谷歌正计划将其Gemini模型引入安卓智能手机的本地运行环境。目前,谷歌已经在其Pixel智能手机以及部分符合条件的安卓设备上提供了Gemini Nano服务,但该服务依赖于互联网连接来访问远程数据中心。谷歌Pixel部门产品管理副总裁Brian Rakowski近日透露,公司预期在明年实现Gemini Nano直接在智能手机上的本地运行。

这一重大进展意味着用户将无需通过云端,即可在手机上直接使用Gemini模型,从而可能提高服务的响应速度和效率。Rakowski表示,谷歌已经取得了在压缩模型以适应手机硬件上的突破,开发出更小、更优化的版本,以确保在不牺牲性能的前提下,满足移动设备的运行需求。

谷歌的这一举措将进一步推动人工智能技术在移动设备上的应用,为用户带来更便捷、高效的使用体验。随着技术的不断进步,预计未来安卓手机用户将能更无缝地享受人工智能服务,而无需时刻依赖网络连接。谷歌的这一战略也预示着在智能手机市场中,人工智能的本地化将可能成为新的竞争焦点。

英语如下:

News Title: “Google’s Gemini Model May Be Pre-Installed on Android Phones Next Year: A Breakthrough in Mobile Compression Technology”

Keywords: Google Gemini, Android phones, model compression

News Content:

Title: Google’s Gemini Model Set to Be Directly Integrated into Android Smartphones Next Year

According to Caixin Global, tech giant Google is planning to bring its Gemini model into the native environment of Android smartphones. Currently, Google offers the Gemini Nano service on its Pixel smartphones and a select number of eligible Android devices, but this service relies on an internet connection to access remote data centers. Brian Rakowski, Vice President of Product Management for Google’s Pixel division, recently revealed that the company aims to enable local execution of Gemini Nano on smartphones in the coming year.

This significant advancement would allow users to access the Gemini model directly on their phones without going through the cloud, potentially enhancing the speed and efficiency of the service. Rakowski stated that Google has made breakthroughs in compressing models to fit mobile hardware, developing smaller and more optimized versions to ensure performance is not compromised while meeting the requirements of mobile devices.

This move by Google is set to further propel the adoption of AI technology on mobile devices, providing users with a more convenient and efficient experience. As technology advances, it is anticipated that Android smartphone users will be able to enjoy AI services more seamlessly without constant reliance on internet connectivity. This strategy also signals that on-device AI localization could become a new focal point of competition in the smartphone market.

【来源】https://www.cls.cn/detail/1603804

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