This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

Jeff Carlson writes about mobile technology for CNET. He is also the author of dozens of how-to books covering a wide spectrum ranging from Apple devices and cameras to photo editing software and ...

Abstract: Data augmentation is a series of techniques that generate high-quality artificial data by manipulating existing data samples. By leveraging data augmentation techniques, AI models can ...

IIIT Hyderabad's iHub-Data has launched a six-month training program in AI/ML for early-career women engineers. The program, beginning in March 2026, combines theoretical grounding with hands-on ...

Abstract: Text data augmentation is an effective strategy for overcoming the challenge of limited sample sizes in many natural language processing (NLP) tasks. This challenge is especially prominent ...

Data mining is the process of extracting potentially useful information from data sets. It uses a suite of methods to organise, examine and combine large data sets, including machine learning, ...

Referring Image Segmentation (RIS) is a vision-language task that identifies and segments objects in images based on free-form text descriptions. This study investigates effective data augmentation ...

Look at the trading cards below. They all show information about monsters. The data has been organised in a way which makes it easy to find and compare the data that is needed to answer questions.

This repo contains all the relevant paper and information used in our study. This will be updated perodically as we revise our manuscript throughout the publication process. The papers used in this ...