New AI-powered app could increase smartphone battery life by 30%

The application also optimizes the performance of other applications running at the same time.

New advanced artificial intelligence technology.

The tech giant will be unveiling a cutting-edge AI invention that can increase smartphone battery life by 30% and save countless kilowatts on electricity bills.

The ground-breaking work by the University of Essex has been incorporated into an application called EOptomizer, which will be demonstrated by specialist researchers and designers, as well as major manufacturing enterprises such as Nokia and Huawei. The EOptomizer application is expected to be used across the industry and help reduce carbon emissions by extending the life of consumer products.

This will be done by using software to significantly improve the efficiency and reliability of batteries in phones, tablets, cars, smart fridges and laptops, thus delaying the time when customers need to buy carbon footprint replacements.

Developed by former Samsung, Microsoft and HCL Technologies employees, the software uses artificial intelligence (AI) to optimize chip performance, heat generation and efficiency.

The work was led by Dr Amit Singh from the Essex School of Computer Science and Electronic Engineering.

He said: “We are very excited to showcase what we have been working on to some of the biggest companies in the world. We hope this application will help improve everyone’s life, save money and help save the environment. This will be the first step in what we hope is a journey that will see our app in the hands of consumers around the world. With an estimated 50 billion devices by 2025 and many more after that, EOptomizer has great potential to help achieve the UK and global zero-emissions target.”

Advanced technology analyzes how the app is used throughout the day and optimizes energy usage.

For example, a user may quickly scroll through the BBC News program while at work to check the headlines, which will require a higher FPS (frames per second) than if they spend more time in the program in the evening scrolling down slowly and reading more stories in full.

The methodology means that the AI ​​is aware of the change in frames per second for the application in use and tries to find the best operating frequency of the CPU and GPU processors to accommodate the change, while consuming the least amount of power and increasing the temperature of the device, which is a critical issue in mobile phones.

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