Booth 21-25 | AI Data Management Zone | Tokyo Big Sight
If you’ve worked on NLP for low-resource languages — Yoruba, Quechua, Tigrinya, Hmong — you know the math is brutal. Native speakers with domain expertise are scarce. Their time is
The dominant model for AI-assisted research has been batch processing: submit a query, wait for the system to work through it, receive a result. The interaction is asynchronous, the feedback loop is slow, and the human is largely passive until the output arrives. A paper from early 2026 presents a
