Educational exceptions to copyright exist in law precisely because societies have long recognized that the public benefit of ...

We invite proposals in all areas of Digital Humanities research and related fields that work with digital methods, resources and data. Special attention will be given to our conference theme: Data ...

Amazon Mechanical Turk shutdown ends 21 years of invisible labor that powered the AI training industry, as AWS closes the ...

RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...

Tool directs text-generation systems to remove constructions associated with artificial intelligence in research papers and ...

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that ...

The Vector Institute today launched UnBias-Plus , a free, open-source AI tool built by Vector's AI Safety research scientists that helps detect, explain, and rewrite biased language in written content ...

Abstract: This research paper presents a comprehensive comparative study assessing the quality of annotations in Turkish, Indonesian, and Minangkabau Natural Language Processing (NLP) tasks, with a ...

Overview Explains ten major data labeling roles powering artificial intelligence across industries and applications worldwide ...

Abstract: In this paper, we propose a novel method for highly efficient exploitation of unlabeled data-Cooperative Learning. Our approach consists of combining Active Learning and Semi-Supervised ...