Uber Technologies Inc. has dismissed two tech leaders at its nascent AI data labeling business, shaking up a key division that the ride-hail company has positioned as a key growth driver.

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 ...

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

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 ...

Microsoft warns that MCP tool descriptions can be manipulated to redirect AI agents, exposing sensitive data through trusted ...

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

NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain ...

Integral transforms real-world data into AI-ready assets for training, labeling, and enterprise AI applications.NEW ...

AI promises to solve cost, labor, and regulatory challenges, but a shortage of deployment expertise means it can create more ...