谷歌近日宣布，其 Gemini 模型预计将于明年实现安卓系统手机的本地化运行，为用户提供更高效的服务。目前，Gemini Nano 已经在谷歌Pixel智能手机以及其他符合条件的安卓设备上提供服务，但用户需要通过互联网连接远程数据中心才能访问。谷歌Pixel部门产品管理副总裁Brian Rakowski表示，公司正在努力推进 Gemini Nano 直接在智能手机上运行的研发进程。
Rakowski 指出，谷歌已经在压缩模型以适应手机有限的硬件资源方面取得了显著进展，这意味着 Gemini 模型的更小版本将能够无缝运行在安卓手机上，无需依赖云端服务。这一技术突破不仅将提高用户使用时的响应速度，减少对网络的依赖，同时也有望节省用户的流量费用。
据消息来源财联社透露，谷歌的这一举措将进一步加强其在移动设备上的AI应用能力，为安卓用户带来更强大的计算能力和智能化体验。 Gemini 模型的本地化运行将为智能手机带来更高效、更便捷的计算服务，有望开启移动设备AI应用的新篇章。
英语如下：
**News Title:** “Google’s Gemini Model May Be Integrated Directly into Android Phones Next Year: Smaller, Faster, More Convenient”
**Keywords:** Google Gemini, Android phones, model compression
**News Content:**
Google recently announced that its Gemini model is expected to run natively on Android smartphones next year, enhancing service efficiency for users. Currently, Gemini Nano is available on Google Pixel smartphones and other eligible Android devices, but users require an internet connection to access a remote data center. Brian Rakowski, Vice President of Product Management at Google Pixel, stated that the company is actively working on enabling Gemini Nano to run directly on smartphones.
Rakowski highlighted that Google has made significant progress in compressing models to adapt to the limited hardware resources of mobile devices. This means a smaller version of the Gemini model will be able to run seamlessly on Android phones without reliance on cloud services. This technological breakthrough not only will increase response times for users and reduce dependency on the network but also is expected to save users’ data costs.
According to financial news agency Cailian Press, this move by Google will further strengthen its AI capabilities on mobile devices, bringing more powerful computational capabilities and an enhanced intelligent experience to Android users. The native operation of the Gemini model on smartphones promises to deliver more efficient and convenient computational services, potentially ushering in a new chapter for AI applications on mobile devices.
【来源】https://www.cls.cn/detail/1603804
Views: 2