The Google Pixel 3a and 3a XL smartphones have been shown off by the technology brand as two new devices for users that will provide a bevy of advanced functionalities that are powered by artificial intelligence (AI). Users of the devices can prompt connectivity with Google Assistant by simply squeezing the sides of the device, while the machine learning technology will also work in the background to streamline the user experience. This includes automatically blocking robocalls and adjusting the camera functionality depending on the environment amongst many other features.
The Google Pixel 3a and 3a XL smartphones are also outfitted with adaptive batteries that utilize machine learning technology to provide up to 30 hours of functionality per charge for multi-day usage.
AI Adaptive Battery Smartphones
The New Google Pixel 3a and 3a XL Offer Up to 30 Hours of Use
Trend Themes
1. AI-powered Smartphones - There is an opportunity to develop more AI-powered smartphones that streamline the user experience and have advanced functionalities like robocall-blocking.
2. Adaptive Battery Technology - Developing smartphones with adaptive batteries can give users more functionality and longer battery life, making it easier to use for multiple days without having to recharge.
3. Machine Learning for Personalized Experience - Using machine learning technology in smartphones can provide users with a personalized experience by automatically adjusting camera functionality depending on the environment, for example.
Industry Implications
1. Smartphone Manufacturing - Smartphone manufacturers have an opportunity to incorporate AI and adaptive battery technologies into their devices to provide a better user experience.
2. Mobile App Development - Mobile app developers can create apps that utilize AI technology, like Google Assistant, to enable voice-activated features that streamline the user experience.
3. Artificial Intelligence Development - Developers can create more advanced and sophisticated AI technology to be used in smartphones, like machine learning algorithms that automatically adjust settings depending on the environment.