Without context, manufacturing data is worthless. Here's what to consider to turn digital junkyards into gold nugget insights.

Labeling and annotation are the foundation of context setting and the invisible backbone of AI, which are quietly shaping the ...

Tending crops by day and then logging on for a night shift of data labeling, 27-year-old Chandmani Kerketta is part of a ...

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 ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

An OpenAI-compatible API server implementation for Google's Gemma 3 language model with function calling capabilities, optimized for Apple Silicon. gemma-3-python/ ├── gemma_proxy.py # Main server ...

Is it possible for an AI to be trained just on data generated by another AI? It might sound like a harebrained idea. But it’s one that’s been around for quite some time — and as new, real data is ...

A recent survey of 6,000 consumers revealed something intriguing: while only around 33% of people think they use AI, a remarkable 77% are, in fact, using AI-powered services or devices in their daily ...

Abstract: Deep learning-based computer vision models are typically data-hungry, resulting in the rise of dataset sizes. The consensus for computer vision datasets is that larger datasets lead to ...