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 ...

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, ...

DUBLIN--(BUSINESS WIRE)--The "Data Collection And Labeling Market Size, Share & Trends Analysis Report By Data Type (Audio, Image/ Video, Text), By Vertical (IT, Automotive, Government, Healthcare, ...

The new framework solves AI's "data bottleneck" by automatically generating high-quality training examples from raw screen ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Poor or uncategorized raw data can be a major impediment for enterprises ...

Elon Musk’s A.I. firm is scaling back on “generalist A.I. tutors.” Allison Robbert/POOL/AFP via Getty Images Data annotation may not be the most glamorous job in Silicon Valley, but it’s indispensable ...

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 ...

Artificial intelligence is blamed for taking away thousands of jobs. But, it also creates a few — at least for now. That’s because some artificial intelligence systems are still pretty dumb. They need ...