ATPS ICE

Artificial Intelligence & Climate Change

Artificial Intelligence & Climate Change

Artificial intelligence is a field of computer science that uses machine and deep learning, among other algorithms, to learn from and interpolate data in an attempt to mimic human intelligence. These networks dynamically bind input and output variables to create predictions that can help develop a variety of solutions to simple and complex problems. AI will be instrumental in addressing questions surrounding climate change. To make better decisions to mitigate and even adapt to the effects of climate change, enormous data must be parsed, analysed and used productively so as to promptly generate and analyse copious data sets. One of the most obvious applications of AI to climate change is its potential to improve climate modelling and predictions. Given machine learning’s predictive strengths, solving numerous facets of climate change is set to become easier and faster.