dnota and #artificialintelligence<\/a><\/h3>\n

dnota and Artificial Intelligence can help reduce #pollution<\/a> in a number of ways, including:<\/p>\n

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1. Energy optimization – AI can analyze large amounts of data to identify more efficient ways to produce and use energy. This can help reduce greenhouse gas emissions. The pollution heat map<\/a> proposed by dnota has a model, which takes into account urban canyons, using an Artificial Intelligence (AI) module for Computational Fluid Dynamics (CFD) simulations. This module has been developed in collaboration with the Barcelona Supercomputing Center<\/a> (BSC) and awarded with the HPC Innovation Excellence Award. In this case, the prestigious Hyperion Research.reo environmental research<\/a>. More information about pollution heat maps in this link.<\/li>\n<\/ol>\n<\/div>
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   bettair<\/a> sensors help generate pollution data<\/h3>\n

   2. Artificial Intelligence can analyze data collected by #sensors<\/a> and cameras to monitor #air, #water and #soil #quality. Also detect #illegal #emissions and prevent environmental disasters. dnota<\/a> proposes pollution control with state-of-the-art Bettair Cities<\/a> sensors with correlation higher than 97% with respect to certified equipment.<\/p>\n<\/div><\/div>