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

Machine learning allows us to identify patterns mathematically, grouping individuals by shared traits without prior assumptions.

Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples ...

As physical features, post-etch patterns are also relatively easy to identify and measure. Accordingly, the AMD group — in collaboration with Siemens EDA — used a reinforcement learning model to ...

The Ministry of the Interior and Kingdom Relations, the commissioning party, has asked CBS to investigate alternative ways of collecting these data. Based on this request, CBS has investigated the ...

To quickly sort through such a huge data set, they've turned to machine learning, a way of using computers to identify patterns and make predictions based on the information.

This study reveals a machine learning approach to find lower-carbon cement substitutes, offering a scalable solution to reduce construction-related emissions.