A bit off topic maybe because 'pure' research, but interesting nonetheless in that it shows how AI / ML is becoming increasingly adopted in climate science
From the abstract:
Many problems in climate science require the identification of signals amidst a sea of climate “noise” and across a variety of models which can disagree with one another. Here, we demonstrate that machine learning techniques, specifically artificial neural networks, can help identify forced patterns of temperature and precipitation within climate model simulations as well as the observations. In fact, the neural network is able to identify patterns of forced change of surface temperature as early as the 1960’s in climate model simulations. The results shown here are strongly suggestive of the potential power of machine learning for climate research.