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

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, ...

Free web-based tool for evaluating translation quality - no registration required ALEXANDRIA, Va. - January 21, 2026 - Alconost, a localization company working with a network of 3,500+ professional ...

JURIST Guest Columnist Courtney Bowman [bio], discusses the emerging trend of localized data and how corporations and governments are reacting this emerging technology… The combined forces of ...

Accurate localization of pathologies in medical images is crucial for precise diagnosis and effective treatment. Existing deep learning models for defining pathology from clinical imaging data rely ...