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

The intelligent training data service market is expanding rapidly driven by growing AI use, demand for high-quality annotated ...

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

If physical AI is going to match the accomplishments of LLMs, there's a data problem that needs to be solved.

Thomson Reuters’ AI approach shows why trusted outputs depend on authoritative data, rigorous governance, and domain ...

Data is the source of intelligence for foundation models. The scaling of language models has shown that model capability ...

Physical AI raised $10B+ in 2025, but robots still train on under 5,000 hours of real-world data. Who's funding the race to ...

Meta has given its AI smart glasses a celebrity makeover with Kylie Jenner in a bid to make wearable cameras mainstream. But ...

Structural biology has long been a leader in open data culture; the Protein Data Bank (PDB), Electron Microscopy Data Bank (EMDB), and Biological Magnetic ...

After helping build some of the world's most widely used open AI datasets at Hugging Face, Guilherme Penedo and Hynek ...

A difficulty-graded mouse brain dataset pairs 3D microscopy images with verified neuron reconstructions to support AI-driven ...

Today, frontier AI labs such as OpenAI and Anthropic are among its biggest and most strategically important customers. These companies need vast amounts of data to train foundation models. But that is ...