NetDragon Showcases AI Education Solutions at UNESCO Event

Sep 6, 2025
NetDragon Websoft Holdings Limited highlighted its AI Content Factory and partnership with Open-Quest Academy at UNESCO's Digital Learning Week 2025, emphasizing global education equity.

NetDragon Websoft Holdings Limited showcased its AI-powered education solutions at UNESCO's Digital Learning Week 2025, announced in a press release. The event, held from September 2-5 in Paris, focused on 'AI and the Future of Education'.

NetDragon was the sole corporate invitee and participated in key events, including the opening ceremony and Ministerial Roundtable, alongside education ministers from various countries. The company highlighted its AI Content Factory, a platform designed to address global content creation challenges by producing culturally adaptive educational materials.

A significant part of the showcase was NetDragon's partnership with Open-Quest Academy. This collaboration aims to create an open, future-oriented education ecosystem that leverages AI for equitable and effective education worldwide. The partnership is grounded in NetDragon's expertise in platform development and its history of collaboration with UNESCO-affiliated institutions.

NetDragon's AI Content Factory will continue to play a central role in its efforts to deliver customized education solutions globally, supporting initiatives like the AI Education Platform launched in Thailand earlier this year.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like AI in Education or Daily AI Brief.

Also, consider following us on social media:

AI in Education AI Brief AI Brief (X)
Free newsletter

AI in Education

Weekly newsletter about AI in education. Covers AI-driven software for educators, schools, general innovations and regulatory updates.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.