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, ...

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 ...

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The Pentagon’s zero-trust office is on a mission to develop and test a plan for organizing its reams of data by the end of the year. At the TechNet Cyber conference presented by the Armed Forces ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Data labeling has long been a critical component of helping data ...

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 ...

As the world continues to produce and generate data at an unprecedented rate, the need for effective data annotation services becomes increasingly crucial. Data annotation involves labeling raw data ...

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 ...

AI data-labeling startup Handshake has acquired data label-auditing startup Cleanlab, the companies tell TechCrunch. Handshake began in 2013 as a platform for hiring college grads and launched a human ...

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 ...