Labeling and annotation are the foundation of context setting and the invisible backbone of AI, which are quietly shaping the ...

LONDON--(BUSINESS WIRE)--Encord, the platform for data centric computer vision, has released the first purpose-built 3D annotation tool for healthcare AI that enables users to train and run models to ...

Companies are eager to hire workers with AI skills, according to a new In-Demand Skills Report from online work marketplace ...

Imagine it rsquo;s a rainy Tuesday in February 2026 . An autonomous delivery robot is navigating a busy metropolitan sidewalk .

Data annotation, or the process of adding labels to images, text, audio and other forms of sample data, is typically a key step in developing AI systems. The vast majority of systems learn to make ...

Amid the boom of AI in application building, companies face a significant data-labeling problem, especially when it comes to labeling images or other media content they want to train deep learning ...

The July uprising did not emerge from ideology alone; it reflected a deeper structural frustration: large numbers of educated and semi-educated young people facing narrowing pathways into stable work.

Tending crops by day and then logging on for a night shift of data labelling, 27-year-old Chandmani Kerketta is part of a rising rural Indian workforce helping power an artificial intelligence ...

Scale AI—which helps companies like ChatGPT improve the data that feeds their systems—is pictured on a laptop in New York on Aug. 16, 2023. Credit - Gabby Jones—Bloomberg/Getty Images On TikTok, ...

Is it possible for an AI to be trained just on data generated by another AI? It might sound like a harebrained idea. But it’s one that’s been around for quite some time — and as new, real data is ...