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.

Quality data is at the heart of the success of enterprise artificial intelligence (AI). And accordingly, it remains the main source of challenges for companies that want to apply machine learning ...

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.

Meta promised users that they can opt out of giving access to their social media content for AI training. Some are saying that the exit tool doesn't work.

On opening day, RealMan unveiled the RealBOT Embodied Intelligence Open Platform, which it designed for high-quality data acquisition.