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

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 ...

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

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 ...

In the field of machine learning and artificial intelligence, data labeling is a crucial step that directly affects the performance of algorithms. As the amount of data grows exponentially, the ...

Dublin, May 28, 2025 (GLOBE NEWSWIRE) -- The "Data Collection & Labeling Market by Component, Deployment Model, Organization Size, Distribution Channel, Application, End User Industry - Global ...

Data labeling plays a pivotal role within the ever-expanding realm of AI. This intricate process involves the meticulous tagging and categorization of raw data, encompassing various formats such as ...

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 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 ...