KUDO’s Post

https://lnkd.in/gaemHyf2 Bridging the Language Gap in Transportation: How Samsung's New AI Live Translation Can Revolutionize Customer Service The transportation industry thrives on seamless connections, but language barriers can often create frustrating roadblocks. Enter Samsung's groundbreaking AI Live Language translation, a game-changer for companies seeking to elevate customer service and accessibility. What is it? Imagine this: a customer calls a taxi company but only speaks Mandarin. With AI Live Translate on the dispatcher's Samsung S24 Ultra, the conversation instantly translates for both parties, in real-time and on-device. No more dropped calls, frustrated passengers, or missed opportunities. Transportation Industry Use Cases: Customer Support: Eliminate language barriers for phone support, improving customer satisfaction and loyalty. Taxi & Ridesharing: Provide seamless communication between drivers and riders who speak different languages. Airport & Public Transit: Assist international travelers with ticketing, directions, and inquiries. Delivery Services: Ensure clear communication with customers for efficient deliveries and improved satisfaction. Benefits: Enhanced Customer Experience: Break down language barriers and provide inclusive, stress-free interactions. Increased Efficiency: Resolve issues faster, reduce misunderstandings, and improve operational flow. Global Reach: Expand your customer base and tap into new markets by catering to diverse languages. Employee Empowerment: Equip your team with the tools to handle any language, boosting morale and confidence. Samsung's AI Live Translate is just the beginning. As language translation technology evolves, transportation companies can expect even more sophisticated solutions, including: Multilingual chatbots: Offer 24/7 support in various languages, reducing reliance on human agents. Real-time signage translation: Assist international travelers with navigation and information displays. Voice-activated assistants: Provide hands-free language support for drivers and passengers. The future of transportation is multilingual, and Samsung's AI Live Translate is paving the way. #Samsung #AILiveTranslate #Transportation #CustomerService #LanguageBarriers #Innovation #FutureofMobility

We have released code for our paper, Improved Scene Landmark Detection for Camera Localization, to be presented at 3DV 2024. This paper proposes improvements over our prior work [1]. Our new approach is competitive with the state-of-the-art on the INDOOR-6 dataset but runs significantly faster. This was a collaboration with Tien Do while he was at Microsoft. Paper: https://lnkd.in/gWsHNHHw Code: https://lnkd.in/gSW2yFez [1] Do et al. 2022, Learning to Detect Scene Landmarks for Camera Localization, in CVPR. https://lnkd.in/gHh75GdY

In this paper, the authors investigate the problem of #reconfigurable #intelligent #surface (#RIS)-aided localization of a user equipment (UE) under #line-#of-#sight (#LoS) blockage in the presence of RIS pixel failures, considering the challenging single-input single-output (SISO) scenario. They first explore the impact of such failures on accuracy through #misspecified #Cramér-#Rao #bound (#MCRB) analysis, which reveals severe performance loss with even a small percentage of pixel failures. To remedy this issue, they develop two strategies for #joint #localization and #failure #diagnosis (#JLFD) to detect failing pixels while simultaneously locating the UE with high accuracy. ---- Cüneyd Öztürk, Musa Furkan Keskin, Vincenzo Sciancalepore, Henk Wymeersch, Sinan Gezici More details can be found at this link: https://lnkd.in/eBYVY_Jc

We have released code for our paper, Improved Scene Landmark Detection for Camera Localization, to be presented at 3DV 2024. This paper proposes improvements over our prior work [1]. Our new approach is competitive with the state-of-the-art on the INDOOR-6 dataset but runs significantly faster. This was a collaboration with Tien Do while he was at Microsoft. Paper: https://lnkd.in/gWsHNHHw Code: https://lnkd.in/gSW2yFez [1] Do et al. 2022, Learning to Detect Scene Landmarks for Camera Localization, in CVPR. https://lnkd.in/gYp4aGUw

Peak ingenuity puts “impossible” to the test, and OmniBridge's ability to enable communication between the hearing and Deaf communities with active ASL to English translation technology is no exception. With #AI at their side, OmniBridge’s re-imagining of human connection is as ambitious as it is successful. #AIinAction #Intel #OmniBridgeAI https://intel.ly/3TbQ9ZS

MMMMODAL Mesolitica CTO Husein Zolkepli & Malaysia-AI volunteer’s latest paper & model release on Multimodal LLM 🔥 “Multi-Images Multi-Audio Multi-Turn Multi-Modal” 🙂 Abstract: Our contribution introduces a groundbreaking multimodal large language model designed to comprehend multi-images, multi-audio, and multi-images-multi-audio within a single multiturn session. Leveraging state-of-the-art models, we utilize the SigLIP encoder for visual inputs and the Whisper Encoder for audio inputs. Notably, this multimodal large language model is bilingual, proficient in understanding both English and Malay simultaneously. We proudly unveil two versions of this model: TinyLlama with 1.1B parameters, and Mistral with 7B parameters. With its ability to navigate diverse modalities and languages, our model represents a significant advancement for the Malaysian context and beyond. Paper: https://lnkd.in/g5AyVrKR Models: https://lnkd.in/g9m3g-Gv 🤖🧠🇲🇾

**Introducing the Life-Changing Innovation: Intelligent Gloves for Sign Language Communication!** These intelligent gloves turn sign language into audible language. A life-changing invention for deaf people who can now be understood by anyone. A meaningful initiative by students at Washington State University who won the Lemelson-MIT Student Prize. Can you imagine being able to communicate with anyone through sign language? These gloves make it possible! #innovation, #technology, #deafcommunity, #accessibility, #socialimpact

Breaking language barriers in just 15 seconds! 🌎✨ Explore the future of global communication with Babeltext. Voice to messaging in 133 languages - it's a game-changer! 🚀💬 #Babeltext #GlobalCommunication"

Increase the turnover by automated GenAI workflows for example: localized content. Enlarged footprint home country and abroad.  In germany 80% households speak german, 20% prefer to speak in another mother language! With 5 further languages the footprint enlarges by 10%! 20% foreign languages are :   turkish (15%), russian (13%), arab (10%), polish (7%) and englisch (6%) Stay flexible and optimize workflows through suitable GenAI tools and trained setups. Let us show you, how to increase revenues by increased footprint with a tailored worklow on the basis of qibb and a strategic platform approach by TeraVolt - A QVEST Company Meet me SportsInnovation!

Did you know that Orthus is able to detect and transcribe audio and videos in over 100 languages? Some of these languages include (but are not limited to):