AI

AI

Machine Learning (ML) is a sub-field of Artificial Intelligence (AI) that experienced a rapid growth in the last 10 years across diverse industries, including communications, financial services, security, transportation, etc. Applications of ML have produced dramatic results enabling new opportunities and business models. Driving the adaptation of ML are the large volume and velocity of information, the application of deep learning techniques, and economic computing power. Applied to geosciences, these data-driven approaches are complementary tools for physical-based modeling, simulation, and inversion. ML facilitates an understanding of complex relationships among a large and diverse set of variables, valuable for generating, validating models, and answering scientific questions. In summary, ML can enable higher-quality decisions more efficiently in the environmental and energy sectors. Geoscience datasets are among the largest volumes of data, possessing a wide range of properties with scales varying over many orders of magnitude.