The AI Annotation Market is growing rapidly as demand rises for high-quality labeled data across computer vision and NLP use cases, with the U.S. segment expanding from USD 0.66 billion in 2025E to ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Spring Boot is one of the most popular and accessible web development frameworks in the world. Find out what it’s about, with ...

Current AI models fail to recognize 'relational' image similarities, such as how the Earth’s layers are similar to a peach, ...

Many jobs face a high risk of being disrupted by AI soon, but roles such as AI trainer, AI auditor, and AI integrator are ...

This report summarizes how the InfoQ Java editorial team and several Java Champions currently see the adoption of technology ...

In his proposal to NSF, Luo coined this rich-get-richer effect “annotation inequality.” One problem of annotation inequality ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first ...

Autonomous driving systems increasingly rely on data-driven approaches, yet many still struggle with reasoning, handling rare scenarios, and transparently explaining their actions. A new study ...

The data for AI company welcomes Helen Giddings, former VP at Appen, to expand Defined.ai's capabilities in tailor-made data projects. SEATTLE, WASHINGTON / ACCESS Newswire / December 11, 2025 / ...

Abstract: Data annotation, the systematic labeling of raw data (e.g., images, text) [1] , is foundational to the training of machine learning (ML) models, particularly in supervised learning. While ...