A trio of environmental researchers at the University of California, Riverside, has developed an AI-based application that can be used for aggregating microplastics across studies. In their paper published in the journal Environmental Science & Technology, Hannah Hapich, Win Cowger and Andrew Gray describe how they applied machine learning to help classify microplastic bits to develop an application that researchers can use in a variety of fields to categorize microplastics in meaningful and useful ways.