AI systems label and score content before ranking. Annotation determines how you’re understood — and whether you compete at all.

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...

Bias in AI systems begins long before deployment and cannot be understood as a single-stage failure. Instead, it originates at the earliest stages of the AI lifecycle, particularly during data ...

Subramaniam Vincent is director of journalism and media ethics at the Markkula Center for Applied Ethics at Santa Clara University. Views are his own. At the core of storytelling for news is sourcing ...

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 ...

originally I thought this is a issue about subahents and middlewares, and then I removed those components, but the issue apeears also. File "/home/ml/miniconda3/envs ...

This study addresses the significant challenge of accurate object detection in highly variable lighting conditions (ambient and artificial). We introduce a novel architecture, Hort-YOLO, which ...

Even as concern and skepticism grows over U.S. AI startup OpenAI's buildout strategy and high spending commitments, Chinese open source AI providers are escalating their competition and one has even ...