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.

Data science and machine learning teams face a hidden productivity killer: annotation errors. Recent research from Apple analyzing production machine learning (ML ...

Austin, Dec. 19, 2025 (GLOBE NEWSWIRE) -- The global AI Annotation Market was valued at USD 2.39 billion in 2025E and is expected to reach USD 28.31 billion by 2033, growing at a CAGR of 17.46% over ...

Following on from last month's discussion of sequence assembly and correction, this month's Genome Watch examines genome annotation in the context of advances in second-generation sequencing. Genome ...

SYDNEY--(BUSINESS WIRE)--Appen Limited, a global leader in the provision of high-quality, human-annotated datasets for machine learning and AI, today announced it has signed a definitive agreement to ...

3D GD&T provides higher-quality parts and greater productivity, but speed bumps slow its full acceptance into the future. In Chapter 26 of the 11th Edition of the IHS Global Drawing Requirements ...

Appen, a provider of datasets used to train artificial intelligence systems, today introduced feature updates for its AI training data solution. The Appen platform for collecting and labeling images, ...

Human-in-the-loop machine learning takes advantage of human feedback to eliminate errors in training data and improve the accuracy of models. Machine learning models are often far from perfect. When ...