The rapid development of deep learning in recent years is largely due to the rapid increase in the scale of data. The availability of large amounts of data is revolutionary for model training by the ...

Machine learning systems can rapidly apply knowledge and training from large data sets to perform facial recognition, speech recognition, object recognition, translation and many other tasks.

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 ...