Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that algorithms can learn from it. Without this step, machine learning systems can't ...

Researchers have developed an unsupervised domain adaptation method that lets dialogue summarization models learn from ...

Building a document AI model is only as good as the training data behind it. Whether you are extracting tables from financial ...

Data annotation, or the process of adding labels to images, text, audio and other forms of sample data, is typically a key step in developing AI systems. The vast majority of systems learn to make ...

In the fast-growing field of data annotation, workers in a small city in south India train A.I. to improve how it performs tasks traditionally done by people. By Jeremy W. Peters and Hari Kumar ...

For an enterprise early in robotics, a useful starting point would be one bounded workflow, such as packing a particular product or assembling a specific part.