The demand for labeled data has skyrocketed with the advancement of artificial intelligence technologies, leading to a new economic opportunity for remote workers. Often likened to a modern gold rush, ...

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 ...

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Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Recent advancements in large generative models have resulted in widespread interest in their ...

Amid the boom of AI in application building, companies face a significant data-labeling problem, especially when it comes to labeling images or other media content they want to train deep learning ...

Two years ago, the entire world spent an estimated $800 million on data labeling: the painstaking process of annotating images and other information to train machine-learning and AI models. Now, the ...

The ride-hailing giant, which unveiled a data-labeling platform late last year, thinks it can out-muscle the smaller rivals jockeying for position after Scale’s tie-up with Meta. Last week, Scale AI’s ...

Simple data labeling is becoming obsolete as AI models require more complex training data, says Turing's CEO. AI training companies need to be a "proactive research partner" for major labs, Jonathan ...

Before you can even think about building an algorithm to read an X-ray or interpret a blood smear, the machine has to know what’s what in an image. All of the promise of AI in healthcare — an area ...