Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This article was contributed by Frederik Bussler, consultant, and analyst ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More If there’s one thing that has fueled the rapid progress of AI and machine ...

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 ...

Heartex, a startup that bills itself as an “open source” platform for data labeling, today announced that it landed $25 million in a Series A funding round led by Redpoint Ventures. Unusual Ventures, ...

Different projects require different workflows. In data annotation platforms, flexible workflows help manage quality, speed, and complexity. Rigid workflows can lead to delays and errors, especially ...

is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. A new report from Reuters reveals that contract workers are looking at private posts on Facebook and Instagram ...

DUBLIN--(BUSINESS WIRE)--The "Global Data Collection and Labeling Market By Data type, By End User, By Region, Industry Analysis and Forecast, 2020 - 2026" report has been added to ...

Data-labeling company Scale AI is looking for writers to train AI models to become better writers. Scale AI has job listings for training AI in languages including Spanish, Mandarin, and German. The ...