Google to introduce Gemini AI on Android, starting with Pixel 8 Pro

Google has recently introduced Gemini, its latest large language model (LLM) innovation, featuring three distinct versions: Nano, Pro, and Ultra. Each version is tailored with unique capabilities, offering a range of functionalities for various applications. Specifically, the Gemini Nano has been integrated into the Google Pixel 8 Pro, marking a significant advancement in AI technology for smartphones.

The Gemini Nano, known for its compact size and efficiency, is engineered to operate locally on smartphones. The Pixel 8 Pro is the first to utilize this model, allowing users to experience its benefits without the need for an internet connection. This local processing capability powers two novel features on the Pixel 8 Pro. Firstly, the 'Summarize in Recorder' feature, which automatically generates concise bullet-point summaries of audio recordings. This is a boon for enhancing productivity and information management. Secondly, the 'Smart Reply in Gboard' feature is currently exclusive to WhatsApp, suggesting contextually relevant replies. Google plans to extend this functionality to other apps in the future, making digital communication more efficient and intuitive.

Google to introduce Gemini AI on Android, starting with Pixel 8 Pro

These features are part of Google's December Feature Drop, which includes several other enhancements. As of now, the Tensor G3 chip in the Pixel 8 Pro exclusively supports these AI features. However, there are expectations for its availability on the standard Pixel 8 soon.

Google's efforts extend beyond just the Pixel 8 Pro. They are working towards integrating Gemini Nano across the entire Android system. To facilitate this, Google has launched AICore, a new system that aids developers in incorporating Gemini-powered features into their applications. While a powerful processor is still a requirement for optimal performance, Google has confirmed compatibility with processors from major manufacturers like Qualcomm, Samsung, and MediaTek. Developers interested in leveraging this technology can join Google’s early access program.

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