Machine learning’s impact on technology is significant, but it’s crucial to acknowledge the common issues of insufficient training and testing data.

Training data is a collection of examples that the model learns from to identify patterns and make predictions.

For those looking to get the most out of their AI system, synthetic data proves useful when real historical data is scarce, sensitive or difficult to obtain.

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 ...

Your information and how you interact with LinkedIn is helping to train AI. If you don't want that to happen, you can opt out and check what it already knows.

LinkedIn appears to have begun scraping user data to train generative AI models before updating its privacy policy.