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 ...

Amazon is winding down Mechanical Turk for new customers as the once-popular crowdsourcing platform loses relevance in the AI ...

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

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

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 ...

For more than three decades, researchers studying genomes have relied on foundational resources such as Repbase and, more ...

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

With the fulcra-onboarding skill, now on ClawHub, OpenClaw agents can wake up to what changed across a user’s world, ...

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

In our July Fourth special broadcast, we revisit our interview with longtime technology reporter Karen Hao, author of Empire of AI, which unveils the accruing political and economic power of ...