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This same technology that enabled neural machine translation to improve machine translation is now finding its way into seemingly unrelated products (think ChatGPT or Dall·E). The translation “problem” has not been solved with the latest advancements in NMT, but there are lessons to be learned in other professions from how the professional translation community has been affected by and adapted to the widespread use of NMT both by translators and by end users.
Demand for dual-language immersion programs has been steadily increasing in the United States. The state of California just made a $10 million investment toward...
On Nov. 22, the US Department of Health and Human Services announced a $350 million initiative to boost COVID-19 vaccination rates in underserved communities. ...
By Josevi Abad As a company focused on improving wellbeing in the business world, we asked the question: Could AI do the same for...
