Microplastics are pervasive pollutants found in the air, water, and even on Mount Everest, with concerns growing about their impact on human health. A team of researchers, including those at the University of Michigan, has developed a new tool using machine learning to improve the identification of these particles with greater reliability and uncertainty quantification. Curious about how this innovation could reshape our understanding of microplastic pollution? Read on to discover the cutting-edge approach driving this breakthrough.
