A cutting-edge AI invention will be disclosed to technology titans, with the potential to increase smartphone battery life by 30% and save countless kilowatts on energy expenses.
The groundbreaking work produced by the University of Essex has been included in an app called EOptomizer, which will be exhibited to specialist researchers and designers, as well as large manufacturing businesses such as Nokia and Huawei.
It is hoped that the EOptomizer app would be used across the industry and help reduce carbon emissions by extending the life of consumer items.
It will accomplish this by utilizing software to greatly increase the efficiency and reliability of batteries in phones, tablets, automobiles, smart fridges, and laptops, so delaying the need for users to purchase carbon-footprint-producing replacements. The event, which will take place on July 11th at Robinson College in Cambridge, will highlight the global impact that EOptomizer potentially has.
The software, which was created by former Samsung, Microsoft, and HCL Technologies employees, uses artificial intelligence (AI) to enhance chip performance, heat generation, and efficiency.
The work has been spearheaded by Dr. Amit Singh, from Essex’s School of Computer Science and Electronic Engineering.
He says that they “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. 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.”
The cutting-edge technology evaluates how an app is used throughout the day and optimizes energy consumption.
For example, a user may quickly swipe through the BBC News app while at work to check the headlines, necessitating a greater FPS (frames per second) than if they spend more time on the app in the evening, leisurely scrolling down and reading more items in full.
The methodology implies that the AI detects the change in FPS for the app in use and attempts to find the best operating frequency of CPU and GPU processors to accommodate the change while consuming the least amount of power and temperature gain in the device, which is a critical issue in mobile phones.