Exploring neuro-symbolic AI applications in geoscience: implications and future directions for mineral prediction
Weilin Chen,
Xiaogang Ma,
Zhe Wang
et al.
Abstract:The integration of machine learning (ML) and deep learning (DL) into geoscience has experienced a pronounced uptick in recent years, a trend propelled by the intricate nature of geosystems and the abundance of data they produce. These computational methods have been harnessed across a spectrum of geoscientific challenges, from climate modeling to seismic analysis, exhibiting notable efficacy in extracting valuable insights from intricate geological datasets for applications such as mineral prediction. A thorou… Show more
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