Labeling and annotation are the foundation of context setting and the invisible backbone of AI, which are quietly shaping the ...
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 has long been a critical component of helping data scientists to prepare data for machine learning (ML) and artificial intelligence (AI). In the modern era of generative AI, the role of ...
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A discussion on a groundbreaking initiative from the National Geospatial-Intelligence Agency (NGA) — a $700 million investment in data labeling to empower artificial intelligence in geospatial ...
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 ...
Data labeling is a critical part of AI. This essential process takes not only more than 25% of time and effort going into an ML project, but also requires an ever-growing amount of specialization and ...