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.

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

Many workplaces and educational institutions have completely switched from paper documents to digital ones. Consequently, Mac users are increasingly dealing with PDFs and other e-document file formats ...

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 human work of teaching A.I. is getting a lot more complex as the technology improves. Chelsea Becker, with her two children, started gig work training chatbots after she went on leave after her ...

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 ...

In recent years, the development of large-scale sequencing projects has identified numerous genomic variants in the human genome. For instance, the NyuWa genome resource (Cell Reports, 2021), led by ...

Accurate interpretation of cancer genomics depends on standardized disease classification, tumor characterization, and ...

The most in-demand skills companies are hiring for today have remained steady over the last year, but hiring for AI skills is also skyrocketing.