Scientific researchers from the Higher School of Economics have created a system that uses artificial intelligence to predict how harmful substances spread in atmospheric air. This system could be useful to industrial enterprises for planning and monitoring air pollution, as well as assessing the accuracy of environmental sensors and devices.
Atmospheric processes are complex and change over time; It requires many calculations to make accurate predictions. Using artificial intelligence, the system can detect trends and anomalies in emissions data. This allows you to create more accurate and reliable forecasts.
The system is trained very quickly, in just ten minutes, and can provide instant predictions that are more accurate than existing models in many cases. This means industries can improve their emissions controls and improve their environmental performance.
Source: Ferra
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