This non-conventional way of creating innovative products passes through five phases — empathize, define, ideate, prototype, and test — and is most useful to tackle ill-defined or unknown challenges. So how can we best translate these phases with localization in mind?
Adam Bittlingmayer, CEO and co-founder of Modelfront, unpacks what it really means to use AI to check and gate AI — deciding which machine...
In this episode, we explore the intriguing crossroads of AI and localization. Delve into the complexities of AI-generated voices, copyright implications, and the synergy...
The government of Macau recently commended the University of Macau’s Natural Language Processing and Portuguese-Chinese Machine Translation Lab, for landing in first place in...