Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Data labeling is one of the most fundamental aspects of machine learning.

Simple annotation work is no longer enough for advanced AI, says Turing's CEO, who says models need complex, real-world data.

Surge AI CEO Edwin Chen said data labeling is often over-simplified. In his view, the work is "a lot more like raising a ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More If there’s one thing that has fueled the rapid progress of AI and machine ...

Earlier this summer Meta made a US $14.3 billion bet on a company most people had never heard of before: Scale AI. The deal, which gave Meta a 49 percent stake, sent Meta’s competitors—including ...

Data labeling software is crucial in developing artificial intelligence (AI) systems. It is designed to label and annotate data in a consistent and standardized manner, just like in a commonly known ...

The global data collection and labeling market size is expected to reach USD 17.10 billion by 2030, expanding at 28.9% CAGR from 2023 to 2030, according to a new report by Grand View Research, Inc.

You can’t build a good machine learning model without good training data. But building those training sets is hard, often manual work, that involves labeling thousand and thousands of images, for ...