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@Translation

For those who are passionate about language technology. Like us. Translated.
Milky Way translated.com Joined March 2007
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Translated. Verified account @Translation
What if AI could understand communication beyond words?

From interpreting visual context to bridging linguistic divides, multimodal and multilingual AI are opening new possibilities for how machines make sense of the world and how knowledge moves across languages.

In Imminent's latest interview, Prof. Jan Niehues from @Karlsruheinstitute of Technology (KIT) discusses how these advances could shape a more inclusive and context-aware future for AI.

Read the full interview on Imminent:
go.translated.com/JanNiehues26x
Translated. Verified account @Translation
AI hype is shaping our society — from investment decisions to political agendas.

In this article for our Research Center Imminent, the Hype Studies collective examines how narratives around AI influence the way we perceive, develop, and adopt the technology, often leaving little room for critical reflection.

What happens when the race to keep up becomes more important than understanding where we're headed?

Read the full article:go.translated.com/aifrenzyx
Translated. Verified account @Translation
Does regulation hold innovation back, or can it help it succeed?

In her latest article for Imminent, @RosariaTaddeo Taddeo, Professor of Digital Ethics and Defence Technologies at the @UniofOxford, challenges the idea that Europe must choose between technological progress and effective governance. She argues that the right regulatory frameworks can help Physical AI become safer, more reliable, and ready for widespread adoption.

Discover why governance could be one of Europe’s greatest competitive advantages.

Read the article:go.translated.com/TaddeoInnovati…
Translated. Verified account @Translation
𝗪𝗵𝗼 𝗰𝗼𝗻𝘁𝗿𝗼𝗹𝘀 𝗮𝗻 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺 𝗮𝗳𝘁𝗲𝗿 𝗶𝘁'𝘀 𝗯𝗲𝗲𝗻 𝗱𝗲𝗽𝗹𝗼𝘆𝗲𝗱?

Across Africa, that question is becoming the real test of AI governance — more consequential than any ethics statement or adoption target. Rwanda, Kenya, Nigeria, Morocco, and South Africa are treating procurement itself as a governance tool: using purchasing terms to demand data control, audit rights, and the authority to intervene once a system is running inside a public institution. In several respects, that puts them ahead of the United States, which still has no unified federal AI framework.

The approaches differ across countries, Rwanda has paired AI adoption in healthcare and agriculture with investment in domestic technical capacity. Kenya has built on its "Silicon Savannah" ecosystem and the reach of M-PESA Africa to position itself in fintech and digital identity. Morocco is positioning itself as a multilingual governance hub between Africa, Europe, and the Middle East. Nigeria's startups are building language and financial-inclusion tools for markets larger platforms tend to overlook. South Africa is anchoring its AI debate in constitutional and human rights traditions.

What ties these efforts together is a deeper question of autonomy rooted in language. Systems trained primarily on Western languages and categories can struggle to understand places like Kenya, where more than fifty languages and diverse cultural traditions coexist. Governance, in this sense, begins with understanding a place on its own terms.

Arthur Sidney, Public Policy Strategist & Attorney, dives deep into the African ecosystem and what it reveals about who gets to shape AI governance next.
go.translated.com/sidney26x
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Translated. Verified account @Translation
🗣️ "Language is the most profound manifestation of human evolution, and we believe that solving translation will open a new era of global collaboration."

Those words from our co-founder Marco Trombetti set the tone for "AI, From the Inside", the event we hosted at Pi Campus on Monday, September 21, as part of @romefutureweek 2026.

The co-founder Isabelle Andrieu retraced the story of Translated, we have been working on language and AI since 1999, back when teaching machines to grasp meaning still sounded like science fiction.

Marco then looked ahead in his keynote, "What Comes After AI?" He shared what our long-term research tells us about how close AI has come to human-level quality in translation, and why scaling today's models will not be enough to close the remaining gap. Closing it calls for a different route, and that is where Lara 3, the latest version of our specialized translation AI, comes in, with an innovative model that learns by doing.

It all started with a question that still drives Translated today: how can everyone understand and be understood in their own language?

#AI #Translation #RomeFutureWeek