Artificial intelligence (AI) provides major opportunities for scientific analysis. Automated reasoners can explore problem spaces quickly and alert practitioners to possibilities that they had not considered. As a case in point, we describe the CSciBox system. Working with data from a paleorecord, such as 14C dates from a sediment core (Fig. 1a) or 18O values from an ice core, CSciBox produces a set of age-depth models, plus a description of how each one was built and an assessment of its quality.
Bradley, Elizabeth; Nelson, T.H.; and de Vesine, Rassbach, "CSciBox: Artificial intelligence for age-depth modeling" (2018). Computer Science Faculty Contributions. 20.