Air pollution remains a severe hazard to human health. According to an Nvidia blog post, the issue contributed to an estimated 30,000 deaths in the United Kingdom alone last year. While data-driven insights can assist in addressing these risks, gathering accurate computational findings has proved difficult under existing scientific methods.
The primary challenge stems from the economics of conventional atmospheric calculations. Computing air quality with traditional chemistry-based models is expensive to execute. Consequently, these financial and computational burdens limit how detailed the models can be and how regularly researchers, including university professor David Topping, can run them.