Washington, June 15 (SANA) Researchers at the University of Washington have developed an innovative artificial intelligence system designed to measure the environmental impact of mobile electronic devices by accurately estimating their carbon footprint.
According to the study published in the journal Nature Electronics and reported on Sunday by the scientific platform EurekAlert!, the system analyzes data related to a device’s components and its production lifecycle to generate detailed carbon footprint estimates.
The researchers said the technology relies on two complementary artificial intelligence agents that work together to improve the assessment process. The first agent is responsible for analyzing the required dataset, while the second agent collects and processes the information to produce accurate carbon footprint calculations.
We found that this method allows for faster and more accurate assessment of the environmental impact of electronic devices compared to traditional assessment methods.
The researchers noted that the system could support sustainability efforts by helping manufacturers, policy makers, and consumers better understand the emissions associated with the production and distribution of technological equipment.
This development reflects a broader trend toward integrating artificial intelligence into environmental sustainability efforts. Advanced AI tools are increasingly being used to improve analysis of carbon emissions, optimize resource use, and support data-driven environmental decision-making.
The researchers said continued advances in artificial intelligence could further enhance the ability to assess and reduce the environmental footprint of technology products throughout their lifecycle.
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