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, ...

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 ...

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

MultiKano is the first automatic cell type annotation method tailored to single-cell multi-omics data. MultiKano introduces a novel data augmentation strategy based on paired scRNA-seq and scATAC-seq ...

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 ...

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, ...