Labeling and annotation are the foundation of context setting and the invisible backbone of AI, which are quietly shaping the ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Artificial intelligence is blamed for taking away thousands of jobs. But, it also creates a few — at least for now. That’s because some artificial intelligence systems are still pretty dumb. They need ...

In many embodiments, machine classifiers may process the set of data to identify particular features within the data. Scoring data can be generated, based on annotations provided by other adjuster ...