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

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

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.

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.

The team found that this transfer of learning between the physics model and machine learning algorithm not only improves accuracy, but also happens in just a few seconds, significantly cutting down ...