Google's New AI Tech Speeds Up Features on Pixel Phones
In brief
- Google has found a way to make AI features like notification summaries and message proofreading faster and more efficient on its Pixel phones.
- The company retrofitted Multi-Token Prediction (MTP) onto existing Gemini Nano v3 models, which are "frozen" and optimized for mobile devices.
- This new architecture allows the phone's AI to generate multiple tokens of text at once, significantly reducing the time and energy it takes to perform these tasks.
- This advancement is particularly important because mobile devices have limited processing power and battery life compared to servers.
- Traditional language models process one word at a time, creating a bottleneck that slows down performance and drains battery.
- By using MTP, Google claims that features like AI Notification Summaries and Proofread now work faster and consume less energy.
- For developers, this means they can build high-speed on-device AI features without needing to create separate, memory-heavy models for each task.
- The new approach is already available on the Pixel 9 and 10 series.
- Google says this marks a major step forward in making AI more accessible and efficient for everyday users.
Terms in this brief
- Multi-Token Prediction (MTP)
- A technique that allows AI models to generate multiple words at once, making tasks like notification summaries and message proofreading faster and more efficient on mobile devices. This reduces processing time and battery drain compared to traditional models that process one word at a time.
Read full story at Google AI Research →
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