Title: Trends in Geoscience Technology - Today and in the Near Future Abstract: Every day our lives are intertwined with applications, services, orders, products, research, and objects that are incorporated, produced, or effected in some way by Artificial Intelligence and Machine Learning.  However, it is not always clear how AI/ML solutions relate to interpreting and understanding geology.  Geoscience interpretation is grounded in physical laws discovered by the scientific community over multiple centuries.  Machine learning is a data driven solution that provides an augmented or different approach to interpretation workflows.  In geoscience interpretation, there have been numerous AI/ML approaches developed over the last few years to solve specific singular interpretation tasks such as stratigraphic analysis, fault and fracture detection, and facies distribution.  Future trends include the expanded application of synthetic models and digital twinning, automation of interpretation processes, and the combining of machine learning approaches.  Recently Large Language Models (LLMs) have evolved…