Washington, June 15 (SANA)Researchers at theUniversity of Washingtonhave developed an innovative artificial intelligence system designed to measure the environmental impact of mobile electronic devices by accurately estimating their carbon footprint.

According to a study published in the journal Nature Electronics and reported Sunday by the scientific platform EurekAlert!, the system analyzes data related to device components and their production life cycles to generate detailed carbon footprint estimates.

The researchers said the technology relies on two complementaryartificial intelligenceagents working together to improve the assessment process. The first agent is responsible for analyzing the required datasets, while the second gathers and processes information to produce precise carbon footprint calculations.

The study found that the approach enables faster and more accurate evaluations of the environmental impact of electronic devices compared with conventional assessment methods.

Researchers noted that the system could support sustainability initiatives by helping manufacturers, policymakers and consumers better understand emissions associated with the production and distribution of technological devices.

The development reflects a broader trend toward integrating artificial intelligence into environmental sustainability efforts. AdvancedAI toolsare increasingly being used to improve the 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 evaluate and reduce the environmental footprint of technology products throughout their life cycles.