Latest news with #DeepL
Time Magazine
4 days ago
- Business
- Time Magazine
TIME100 Most Influential Companies 2025: DeepL
DeepL's more than 200,000 customers include governments and half of the Fortune 500. The German startup says its AI-powered translation tools are more accurate and better able to capture specific industry context (and terminology) than competitors. Most employees working at DeepL headquarters in Cologne—a few hours from Belgium, France, and the Netherlands—are multilingual, giving the company an edge in 'knowing better what the customer needs,' says founder and CEO Jaroslaw Kutylowski. To bridge language barriers during meetings, DeepL last year released a product offering real-time voice-to-text subtitle translations. With Korean, Arabic and Norwegian now in the mix, the company's proprietary large language models—which also support business writing tools—now work in 36 languages. Correction, June 26 The original version of this story misstated the number of languages that DeepL supports. It is 36, not 32.
Yemenat
4 days ago
- Politics
- Yemenat
?Political Translation in the Age of Artificial Intelligence: Can Machines Be Biased
Assistant Lecturer, Department of English, Faculty of Arts and Humanities, Sana'a University, Yemen, and PhD Candidate in Translation and Artificial Intelligence In the digital era, political translation has emerged as a powerful force in crafting narratives, conveying ideological discourse, and shaping collective perceptions across borders. With the rapid evolution of artificial intelligence and the growing prominence of machine translation tools like Google Translate, DeepL, ChatGPT, Deepseek, Gemini, etc. reliance on automated systems has reached unprecedented levels. Yet this progress invites a pressing question: Are these machines neutral agents? Or can artificial intelligence, by nature or design, be biased when translating politically charged content? The Invisibility of Bias: Can Machines Be Truly Objective? While AI systems are often perceived as impartial, they learn from vast datasets created by humans, datasets that inherently carry cultural, political, and ideological assumptions. This means machine outputs reflect the biases, blind spots, and power dynamics embedded in the original content. Consider the phrase 'المقاومة الفلسطينية' ('Palestinian Resistance'). Some AI translation systems render it as 'Palestinian Resistance,' capturing its nationalistic connotation, while others convert it to 'Palestinian Terrorism,' a drastically different framing that invokes international criminality and strips the term of its sociopolitical context. Likewise, the word 'شهيد' (martyr) is often translated as 'the deceased' or simply 'killed,' diminishing its deeply held cultural, spiritual, and ideological significance. Real-World Cases of Linguistic Distortion by Human Translators and Adopted by AI Systems: Biased translations are not merely theoretical. In 2021, when Turkish President Recep Tayyip Erdoğan spoke on the Palestinian cause, his statement 'القدس خط أحمر بالنسبة لنا' ('Jerusalem is a red line for us') was mistranslated in international media as 'Jerusalem is important to us' a softened version that diluted the strength and urgency of Turkey's stance. The phrase'العملايات الاستشهادية', 'Martyrdom Operations' offers another clear illustration. Often used in certain cultural contexts to signify sacrifice, it is commonly rendered in Western media as 'Suicide Bombings,' a term that repositions the act within a narrative of violence and fanaticism. Depending on the translator's cultural or ideological lens, the action is reframed as either resistance or terrorism a pivotal distinction in shaping global perception. Political translation becomes especially fraught in contexts of ongoing conflict. Take the term 'جدار الفصل العنصري' ('Apartheid Wall'), commonly used by Palestinians to describe the Israeli separation barrier. Israeli narratives often refer to the same structure as a 'Security Barrier.' The former phrase evokes racial segregation and moral indictment; the latter emphasizes protection and pragmatism. Thus, translation doesn't merely carry meaning, it crafts political reality. The Arabic term 'انتفاضة' (Intifada) faces a spectrum of translations: 'uprising' highlights popular resistance, 'revolt' implies rebellion, while 'violent riots' reduces it to disorder. Each label carries ideological weight, affecting how audiences interpret the legitimacy and nature of collective action. Historical memory is also subject to semantic reshaping. 'النكبة' (Nakba), denoting the 1948 forced displacement of Palestinians, is sometimes diluted in translation to 'The 1948 Palestinian Exodus,' reframing a catastrophic event into a seemingly voluntary or inevitable migration. Similarly, 'حق العودة' ('Right of Return') a legal and moral cornerstone of Palestinian discourse, is occasionally rendered as a 'Request' or 'Demand,' minimizing its legitimacy and eroding its rhetorical force on the international stage. Even seemingly straightforward terms like 'المستوطنات' ('Settlements') are at risk of distortion. When translated as 'Neighborhoods,' the term sheds its colonial, legal, and political implications, offering a sanitized narrative of urban development. Meanwhile, 'التطهير العرقي' ('Ethnic Cleansing') has at times been softened to 'Displacement,' a term that downplays the systemic nature and severity of the crime. Beyond Language: The Ethics of Translation in the AI Age The abovementioned examples underscore a broader truth: AI does not invent meanings in isolation. It inherits and amplifies the linguistic and ideological biases embedded in its training data. Political language is inherently fraught, context-bound, and often contentious, realities that machines, without guidance, are ill-equipped to navigate on their own. The challenge, then, is not to discard machine translation, but to calibrate it. The way forward lies in a hybrid model where human translators, steeped in linguistic nuance and cultural literacy, collaborate with AI to ensure translations are not only technically correct but also ethically informed and contextually accurate. In brief, in an age increasingly defined by algorithms and automation, political translation remains an area where human insight is indispensable. Artificial intelligence is not immune to bias, especially when engaged with polarizing issues like the Israeli-Palestinian conflict or the Russia-Ukraine war. To prevent AI from becoming an unwitting agent of distortion, we must pair the precision of machines with the conscience of humanity. Only then can translation serve as a true bridge between cultures, rather than a battleground for competing narratives.
Time Magazine
19-06-2025
- Business
- Time Magazine
10 Ways AI Can Support Remote Workers
This article is published by a partner of TIME. By Su Guillory It's become impossible to ignore the impact and potential of artificial intelligence. It's now become a tool we use to organize our lives, do research, and entertain ourselves. Every day, we're discovering new ways AI can make our lives easier and more productive. That goes for remote workers and digital nomads as well. Whether you do your work on a beach in Bali or take video calls while traipsing from one European country to another, AI can be of great use to you as an employee or business owner. Why AI? If you're resistant to allowing this technology to lend you a hand, you might want to reconsider. As a digital nomad, you may occasionally find it difficult to put the same focus on your work while traveling that you do while in the office, but AI doesn't miss a beat. It helps you sustain your business even when you're out-of-pocket. AI also helps you reduce the time spent on repetitive tasks, such as email replies, data entry, or content repurposing. It allows you to serve more clients without taking on more work. And as a citizen of the world, you can also serve clients in other countries without being fluent in their language. 10 Ways AI Can Help Remote Workers 1. Translate Content If you're a digital nomad or working abroad, even if you're fluent in the local language, you may not be well-versed in business or technical terms. Or you may want to offer your services to the local community, and in that case, you'll need to translate documents and marketing materials. Tools like Google Translate and DeepL use neural machine translation (NMT) and large language models (LLM) to translate images and text. You can take a photo with your phone and get the image's text instantly translated, or upload a file through your desktop. 2. Schedule Across Time Zones It can be a pain to try to calculate what time it is in your client's time zone, especially with different daylight saving time schedules. Use an AI calendar tool like Clockwise to find times that work for everyone you need to meet with. You can also add Focus Time when you need to concentrate on your work and not get scheduled for calls with others on your team. 3. Automate Customer Support Rather than hiring a customer service representative for your company, use an AI chatbot to serve your customers, even when you're out of the office. Today's chatbots can do a lot. You can feed them answers to frequently asked questions or set them up to process returns. Most customer issues can be resolved this way, which can cut down on the amount of human interaction needed. 4. Streamline Client Communications If you find yourself writing the same emails over and over again, AI tools like Gmail's built-in compose window can draft emails you can modify. Or you can create templates to respond to common questions your clients or coworkers ask. You can also install AI Mail Assistant to create personalized responses, translate your emails, and correct errors. 5. Learn a Language the Smart Way If Duolingo isn't cutting it in helping you get fluent in a language fast, try an AI-powered language learning tool like Speak. It provides conversation opportunities, and it adapts as you learn. The tool will create a personalized curriculum that helps you reach your learning goals faster. 6. Be a Better Writer In today's business world, flawless grammar and syntax are a there's no excuse for errors with AI! Grammarly can be installed as a plugin you can use with Windows, Google Drive, and even your phone. It corrects your mistakes and makes suggestions for better content. ChatGPT offers a way to polish your writing. Paste what you've written, and the tool can smooth awkward transitions, modify the tone to better fit your audience, or optimize for SEO. You can also take one piece of content—a blog post, for example—and turn it into multiple other types of content, such as a LinkedIn post or an X update. 7. Make Meetings Less Painful Staying connected with your team likely means countless video meetings. You already know that sometimes when you pause to take notes, you miss important information on the call. AI Meeting Notes auto-joins calls on Zoom, Microsoft Teams, and Google Meet and even takes notes so you can focus on the call. It also automatically creates action items from the call. If you miss a meeting, you can get a 30-second recap. 8. Never Miss a Deadline If your digital nomad lifestyle involves heavy travel, you run the risk of missing a deadline or letting something slip through the cracks. AI tools like Motion take over task planning. The tool prioritizes your most important tasks and helps you balance your workload to ensure you meet deadlines. 9. Research Faster Artificial intelligence is even changing how we research for our work. Rather than Googling a question and then sifting through the results, AI tools like can do the heavy lifting for you. Input a query and you'll get an in-depth response on whatever it is you're researching. It's a great way to get data on your competitors, market, customer behaviors, and trends. 10. Close More Deals If you're an entrepreneur who sells online, you can automate the sales process with AI-driven customer relationship management software. For example, ActiveCampaign can automate workflows and communications so that a lead at the top of your funnel is more likely to buy from you. It uses intelligent segmentation and predictive sending to make sure that every message is sent at the right time to the right audience. Harness the Power of AI for Remote Work These are just a few examples of the myriad AI-powered tools for work. Find the ones that make you more productive, and get back to enjoying that nomadic life. Related Articles: About the Author: Su Guillory is an expat coach and business content creator. She supports women who want to move to Italy. Su has been published on AllBusiness, Forbes, SoFi, Lantern, Nav, and more, and writes about entrepreneurship, finance, marketing, and living as an expat in Italy.
Bloomberg
16-06-2025
- Business
- Bloomberg
Three European Startups with World-Changing Potential
Jaroslaw Kutylowski, CEO and founder of DeepL; Mati Staniszewski, co-founder of ElevenLabs; and Torsten Reil, co-founder and co-CEO of Helsing, join Bloomberg's Amy Thomson to discuss what it takes to build a European startup with global impact. The three tech leaders analyze the latest applications of AI, the opportunities it brings, and the challenges of building trust throughout society. (Source: Bloomberg)
Mid East Info
12-06-2025
- Business
- Mid East Info
DeepL first to deploy NVIDIA DGX SuperPOD with DGX GB200 systems in Europe, advancing Language AI with powerful generative features and enhanced user experience
DeepL's Language AI platform can now translate the entire web into another language in just 18.5 days – down from 194 days Paris, France – 11th June 2025 – DeepL, a leading global Language AI company, today announced the deployment of an NVIDIA DGX SuperPOD with DGX GB200 systems. This transformative computing platform will enable DeepL to translate the entirety of the internet – which currently takes 194 days of nonstop processing – in just over 18 days, marking a significant leap forward in DeepL's research and product capabilities. This deployment marks the first deployment of DGX SuperPOD with DGX GB200 systems in Europe, which is now operational at DeepL's partner EcoDataCenter in Sweden. Driving Research and Innovation The new cluster will enhance DeepL's research capabilities, unlocking powerful generative features that will allow the Language AI platform to expand its product offerings significantly. With this advanced infrastructure, DeepL will approach model training in an entirely new way, paving the path for a more interactive experience for its users. In the short term, users can expect immediate enhancements, including increased quality, speed and nuance in translations, along with greater interactivity and the introduction of more generative AI features. Looking to the future, multi-modal models will become the standard at DeepL. The long-term vision includes further exploration of generative capabilities and an increased focus on personalization options, ensuring that every user's experience is tailored and unique. Technical Advancements This deployment will provide the additional computing power necessary to train new models and develop innovative features for DeepL's Language AI platform. NVIDIA DGX SuperPOD with DGX GB200 systems, with its liquid-cooled, rack-scale design and scalability for tens of thousands of GPUs, will enable DeepL to run high-performance AI models essential for advanced generative applications. This marks DeepL's third deployment of an NVIDIA DGX SuperPOD, now surpassing the capabilities of DeepL Mercury, its previous flagship supercomputer. 'At DeepL, we take pride in our unwavering commitment to research and development, which has consistently allowed us to deliver solutions that outshine our competitors. This latest deployment further cements our position as a leader in the Language AI space,' said Jarek Kutylowski, CEO and Founder of DeepL. 'By equipping our research infrastructure with the latest technology, we not only enhance our existing offering but also explore exciting new products. The pace of innovation in AI is faster than ever, and integrating these advancements into our tech stack is essential for our continued growth.' Delivering Extraordinary Translation Quality The deployment of these new racks will make DeepL faster and more accurate than ever before. Standout capabilities of the new clusters include: Translating the entire web into another language, which currently takes 194 days of non-stop processing, will now be achievable in just 18.5 days. The time required to translate the Oxford English Dictionary into another language will drop from 39 seconds to two seconds. Translating Marcel Proust's In Search of Lost Time , the world's longest book, will be reduced from 0.95 seconds to just 0.09 seconds. Overall, the new clusters will deliver 30 times the text output compared to previous capabilities. 'Europe needs robust AI deployments to maintain its competitive edge, drive innovation, and address complex challenges across industries' said Charlie Boyle, Vice President of DGX systems at NVIDIA. 'By harnessing the performance and efficiency of our latest AI infrastructure, DeepL is poised to accelerate breakthroughs in language AI and deliver transformative new experiences for users across the continent and beyond.' About DeepL DeepL is on a mission to break down language barriers for businesses everywhere. Over 200,000 businesses and governments and millions of individuals across 228 global markets trust DeepL's Language AI platform for human-like translation in both written and spoken formats, as well as natural, improved writing. Designed with enterprise security in mind, companies around the world leverage DeepL's AI solutions that are specifically tuned for language to transform business communications, expand markets and improve productivity. Founded in 2017 by CEO Jaroslaw (Jarek) Kutylowski, DeepL today has over 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP and Index Ventures.
