Hey Nickbick!
That's actually a really fun rabbit hole to fall down. AI on phones uses different machine learning models for lots of functions. Currently, as far as I understand it, the Pixel range is the only AI driven chipset. Samsung has AI on their S24 series, but it's proprietary from Google, so I doubt it's integrated into the chip.
Gemini (Google's AI bot) told me this when asked that question:
The Google Tensor G3 chip in your phone utilizes machine learning in many ways, enhancing various aspects of your user experience. Here are some key examples:
1. Camera and Image Processing:
* Live HDR: The G3 has machine learning algorithms built directly into its silicon. This allows for Live HDR video recording with improved detail, color, contrast, and dynamic range.
* Faster Image Processing: The chip's architecture and machine learning models enable faster processing of photos and videos.
* Enhanced Zoom: Machine learning contributes to clearer and more detailed zoomed-in shots.
2. Speech Recognition and Language Processing:
* Improved Voice Clarity: Machine learning models help filter out background noise and enhance your voice during calls.
* Real-time Translation: The G3 enables faster and more accurate real-time translation of languages, both in text and with the Live Translate feature.
3. Security and Privacy:
* Face Unlock: Machine learning advancements in the G3 allow Face Unlock to meet the highest Android biometric security standards.
* On-device Processing: Many AI tasks are performed directly on the G3, keeping your data private and secure.
4. Overall Performance and Efficiency:
* Adaptive Battery: Machine learning helps optimize battery usage by learning your app usage patterns and adjusting power allocation accordingly.
* Performance Optimization: The G3 can dynamically allocate resources based on the tasks you're performing, improving overall speed and efficiency.
Learning Usage Patterns and Adaptations:
Yes, the G3 Tensor chip does learn your usage patterns over time. This learning is primarily focused on optimizing performance and battery life. Here's how:
* App Usage: The chip learns which apps you use most frequently and preloads them for faster access.
* Battery Management: It identifies apps that consume a lot of power and adjusts their background activity to conserve battery.
* Display Settings: It may learn your preferred brightness levels in different environments and automatically adjust the screen accordingly.
Important Note: The learning process in the G3 is designed to be privacy-preserving. The data used for learning is typically kept on your device and not shared with Google or other third parties.
In summary, the G3 Tensor chip uses machine learning to power a wide range of features and improve your overall phone experience. It learns your usage patterns to optimize performance, battery life, and personalize certain settings, all while keeping your data private and secure.
If your interested in learning about the inner workings of actual devices and comparing different models I recommend poking around MobileSyrup and GSMArena. This is my (basic) understanding from the major devices readily available in Canada at this time (Apple, Google, Samsung, Motorola) It's possible other international players like OnePlus, TCL, and Huawei etc. also might have proprietary AI at this time! Thanks for inspiring me to do some research into a cool topic!
