Most computational models in biology are built and intended for “single-use”; the lack of appropriate annotation creates models where the assumptions are unknown, and model elements are not uniquely ...

Improvements in molecular biology have led to an increase in high-throughput data, which typically produces lists of differentially expressed genes or proteins. These lists are useful for identifying ...

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 ...

US-DATA, a data annotation company specializing in machine learning and computer vision projects, announces the expansion of ...

Trained on one of the world’s largest real-world video datasets from Grass and hosted on Inference.net’s scalable AI infrastructure, the model delivers high-accuracy video annotation at a fraction 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 ...

Information about the organization and evolution of plastomes is crucial to improve crop plants and to resolve the phylogeny of photosynthetic organisms. In a recent study researchers of the Finnish ...

The field of Intangible Cultural Heritage (ICH) preservation increasingly depends on multimodal data, ranging from motion ...