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University of Essex | Indian origin Professor at University of Essex leads AI Tech project to boost smartphone battery and lifespan

University of Essex | Indian origin Professor at University of Essex leads AI Tech project to boost smartphone battery and lifespan

Indian origin Professor at University of Essex leads AI Tech project to boost smartphone battery and lifespan

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Smart AI technology optimises chip performance, heat generation and efficiency in smartphones and other electronic devices

If used widely on devices across the industries, can help achieve net zero emissions goal of the whole world

UK-based University of Essex today unveiled a ground-breaking AI development led by an Indian-origin scholar at Essex that could boost smartphone battery life by 30% and shave countless kilowatts from energy bills. The ground-breaking technology has been rolled into EOptomizer, an app that can drive down carbon emissions by making consumers’ electronic devices last longer. It does this by using software to dramatically increase efficiency and reliability in smartphones, tablets, cars, smart fridges and computer batteries delaying when consumers need to buy carbon-footprint-producing replacements.

The AI technology project, spearheaded by Dr Amit Singh, Associate Professor from the University of Essex’s School of Computer Science and Electronic Engineering, has been developed in partnership with former Samsung, Microsoft and HCL Technologies technology experts. Dr Singh is an alumnus of Indian Institute of Technology (Indian School of Mines), Dhanbad.

According to Dr Amit Singh: “Considering that there will be approximately 50 billion devices by 2025 and many more thereafter, EOptomizer has great potential to help to achieve the net zero emissions goal of the whole world. It is our hope that this app will help make everyone’s life better, save them money and help save the environment. We are so excited to showcase what we have been working on to some of the biggest companies in the world and hope to see our app in the hands of consumers across the globe.”

EOptimizer deploys AI to understand how a particular app is being used and optimizes the energy usage for the app. For example, a user might quickly scroll through a news app while at work to check the headlines. This will require a higher FPS (frames per second) than when they spend more time on the app in the evening, slowly scrolling down and reading more stories in full.

The app realises the change in FPS for the app being used and tries to find the best operating frequency of CPU and GPU processors to cater for the change whilst consuming the least amount of power and temperature gain in the device, which is a critical issue in mobile phones. The AI tech analyses how an app is being used throughout the day and optimises energy use.

About University of Essex

Founded in 1964, University of Essex is one of the UK’s leading universities, which has grown from 122 students in the first year to 17,000+ now. The University maintains three campuses at Colchester, Southend and Loughton. Essex has three faculties which lead on delivering excellence in teaching and research: the Faculty of Arts and Humanities, Faculty of Science and Health, and Faculty of Social Sciences. It has close to 1,000 active researchers and 17,000 students from over 140 countries with an alumni strength in excess of 100,000. It was named University of the Year at the Times Higher Education Awards 2018 and in the top 25 for research quality in The Times and Sunday Times Good University Guide2 2022.

Tags: AI Techboost smartphone batteryUniversity of Essex
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