Data labeling is one of the most fundamental aspects of machine learning. It is also often an area where organizations struggle – both to accurately categorize data and reduce potential bias ...

Our understanding of progress in machine learning has been colored by flawed testing data. The 10 most cited AI data sets are riddled with label errors, according to a new study out of MIT, and it ...

NIMS and its collaborators have developed a model designed to predict the long-term durability of a range of heat-resistant ...

Data labeling is a critical, though often time consuming and complex, element of modern machine learning (ML) operations.. Data labeling could also be the key to unlocking the wider enterprise ...