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

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 ...

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...

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 ...

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 ...

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 ...

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.

Google is officially announcing a trio of new desktop Chrome productivity features today: Split View, PDF annotation, ...

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

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 ...