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With the democratization of AI, an engineer can build an MT model in one day. However, beating Google or DeepL in quality, performance, and market presence is another story. So, who are the teams that are able to compete, stand tall, and beat the odds in the market of MT? Here are some of our top picks.
When the Russian invasion of Ukraine began, Maria Malykhina and her colleagues at Technolex Translation Studio were determined to continue their work by all...
At this year’s CES, Waverly Labs introduced a suite of new services and hardware designed to provide near-instantaneous communication among multiple languages and dialects.
Sébastien Bratières, Director of AI at Translated, outlines “DVPS”, a four-year EU project to build multimodal foundation models with partners including EPFL, Oxford, and...
