A team of researchers from the University of Essex, UK, developed a new app using cutting-edge AI that can boost your smartphone battery by 30%. According to the authors, this has the potential to save thousands of kilowatts from energy bills. The team will use their own machine learning-based algorithm to maximise the performance and battery life of future smartphone devices based on the user’s interaction with the phone.
The ground-breaking AI-based app is called EOptomizer and will be demonstrated not only to expert researchers and designers but also to major manufacturing companies such as Nokia and Huawei. The presentation will take place in Robinson College, in Cambridge, on 11 July, UK, but will be broadcast across the globe. This workshop is part of a project titled “Understanding Commercialization Potential of Embedded Machine Learning Technology to Help in Achieving Net Zero Emissions,” funded by the University of Essex. The aim is to explore the commercialisation potential of the new app and its contribution toward the Net Zero emissions goal of the UK.
The authors hope that, in the long term, the EOptomizer will be used across the industry and help reduce carbon emissions by making consumers change their mobile phones less frequently. The app uses special software to increase efficiency and reliability in phones, tablets, cars, and computer batteries. This higher efficiency means consumers will need to buy fewer replacements, which results in a low carbon footprint.
The project was developed by former Samsung, Microsoft, and HCL Technologies employees and relies on artificial intelligence (AI) to optimise efficiency, heat generation, and chip performance. For example, users may quickly scroll through a news app while at work to check the headlines, which requires a higher FPS (frames per second) than when they spend more time reading the full news in the evening. To do this, they’ll spend more time on the app but scroll less. In this case, AI realises the change in FPS in the app being used and attempts to find the best operating frequency for the processors to cope with the change while consuming the lowest amount of power possible and limiting temperature increase.
“We are so excited to showcase what we have been working on to some of the biggest companies in the world. It is our hope that this app will help make everyone’s life better, save them money, and help save the environment,” said Dr. Amit Singh from Essex’s School of Computer Science and Electronic Engineering. “This will be the first step on what we hope is a journey that will see our app in the hands of consumers across the globe. Considering approximately 50 billion devices by 2025 and many more thereafter, EOptomizer has great potential to help to achieve net-zero emissions goal of the UK and the whole world.”