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 ...

Manually identifying images to be used in the training phase of an AI system. Data labeling is an essential component in AI development as it identifies all the objects in the world people may be ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra As LLMs have continued to improve, there has been some discussion in the industry about the continued need for standalone data labeling ...

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, ...

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 ...

Surge AI CEO Edwin Chen said data labeling is much more creative than it gets credit for. "I think a lot about what we're doing as a lot more like raising a child," Chen recently told "Lenny's Podcast ...

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 ...

An alum of Google, Facebook and Twitter, Edwin Chen built his data labeling company, Surge, in the background of the AI revolution. Now the youngest member of the Forbes 400 is ready to step out of ...