Data from microplastic analyses can inform health recommendations and policy decisions. Machine learning is one tool researchers have started using.

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

How To Exclude Bias From A Machine Learning Algorithm There are three key rules that my team and I always observe when creating ML algorithms: • Ensure proper data collection.

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases.

Our recent work addresses this issue by creating a tool with an uncertainty quantification for microplastic identification. We use a machine learning technique called conformal prediction.