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 ...

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.

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 ...

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 ...

It is a truism that the quality of data you can get out of a system depends on the quality of the data you put into the system. This is as true in a basic Excel file as it is in the most advanced ...

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 ...

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 ...

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 ...