One of the first commercial capture systems built to give humanoid robots the 3D signals they use at inference: depth, ...

Uber Technologies Inc. has dismissed two tech leaders at its nascent AI data labeling business, shaking up a key division ...

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 ...

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

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

Seekr, the leader in explainable, defensible AI, today announced the launch of its partnership with Enabled Intelligence, the leader in high-precision AI data labeling, annotation, and data quality ...

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

A huge hidden workforce is involved in data annotation, the raw material for every AI model. They must be made visible, ...

Nuance and Judgement are Needed for an AI Resilient Enterprise. While multi-modal AI can ingest vast amounts of data, it ...

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

Automation reduces costs, but human oversight protects quality, trust, and brand reputation. Why the highest-performing teams are redesigning human input, not eliminating it.

Innodata's INOD first-quarter 2026 results suggest that its improving profitability reflects more than just strong demand for ...