Machine Learning and the Environment
Climate change is one of the most major challenges that our world faces. Changes in our climate that have already been affecting this world can be observed in the rising sea levels, polar ice caps melting, storms and hurricanes that are considerably more severe, an increase in droughts, and wildfires that have increased precipitation in some parts of the planet while others suffer from less rainfall. It is vital to take whatever measures are required to minimize the dangers posed by climate change. These would surely include decreasing carbon emissions in the atmosphere and adapting to the changes that have already occurred as well. Artificial intelligence (AI), machine learning (ML) or deep learning (DL), data science, and advanced analytics have been extensively applied for many years in multiple sectors such as banking, healthcare, and so on. However, their applications regarding climate change have received little attention. So, in this article, we will take a look at how AI and ML can aid in climate change related challenges, i.e., cover a range of applications.
Controlling Pollution
Pollution is a significant concern in larger cities. Thus, a novel urban pollution control system, the Internet of Things (IoT), and machine learning are all critically needed.
