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, ...

Imagine it rsquo;s a rainy Tuesday in February 2026 . An autonomous delivery robot is navigating a busy metropolitan sidewalk .

Rapidata treats RLHF as high-speed infrastructure rather than a manual labor problem. Today, the company exclusively announced to us at VentureBeat its emergence with an $8.5 million seed ...

Is it possible for an AI to be trained just on data generated by another AI? It might sound like a harebrained idea. But it’s one that’s been around for quite some time — and as new, real data is ...

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 ...

Accurate localization of pathologies in medical images is crucial for precise diagnosis and effective treatment. Existing deep learning models for defining pathology from clinical imaging data rely ...

The pancreas and tumor are represented by the colors orange and green, respectively. Given the weak label, we expand it to a lesion marker (teal green) and background markers (red). We then utilize ...