Beyond Translation: How “Aurorah” AI by HiveMind Tackles Korea’s Web Novel Export Bottleneck - KoreaTechDesk | Korean Startup and Technology News AI solution “Aurorah” by K-startup HiveMind is redefining how Korean web novels reach global readers by cutting translation costs and unlocking export growth.

📖 Korea’s web novels don’t lack demand — they lack affordable localization.

Startup HiveMind is using AI to preserve story integrity at scale, starting with Japan

Translation is no longer the bottleneck.
👉 koreatechdesk.com/hivemind-aur...
#HiveMind #WebNovels #AIandIP #KContent

Open AIR Awarded CAD 750,000 to Transform Artificial Intelligence Related Intellectual Property Law and Policy in Africa Researchers from the Open African Innovation Research (Open AIR) network have been awarded almost CAD 750,000 for a new three-year research project, Catalyzing AI’s Potential in Africa through Intelle...

Grande nouvelle!
Les chercheurs d’#OpenAIR ont obtenu un financement de 750 000$ CA du CRDI et du FCDO du Royaume-Uni pour un nouveau projet: Catalyzing AI’s Potential in Africa through IP Innovation.

Lire l’article complet : tinyurl.com/4eb59d9u

#AIandIP #InnovationEnAfrique

Open AIR Awarded CAD 750,000 to Transform Artificial Intelligence Related Intellectual Property Law and Policy in Africa Researchers from the Open African Innovation Research (Open AIR) network have been awarded almost CAD 750,000 for a new three-year research project, Catalyzing AI’s Potential in Africa through Intelle...

Big news!
Open AIR researchers have secured CAD 750K from the IDRC & UK's FCDO for a new project: Catalyzing AI’s Potential in Africa through IP Innovation.

Read more: openair.africa/open-air-awa...

#OpenAIR #AI4D #AIandIP #InnovationInAfrica

It’s not every day you have a meeting with a member of ABBA…!

Pleased to continue to show my support for transparency measures in the Data (Use and Access) Bill to help ensure tech firms outputs, especially when it comes to AI can be governed by copyright laws.

#MakeItFAIr #AIandIP