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Discover how their new 100,000 MTPA Vasai facility drives engineering innovation and infrastructure growth.","https:\u002F\u002Fmedia.magicwandmedia.in\u002Fposts\u002FJuly2026\u002Fnews\u002Ftembo-global-industries-opens-new-vasai-facility-boosts-capacity-to-100000-mtpa-0tSB5k.png","2026-07-31T02:07:26+05:30",{"title":74,"slug":75,"excerpt":76,"imageUrl":77,"publishedAt":78,"author":11,"category":12},"N.A.N. MagneTech to Invest INR 1,250 Cr in NdFeB Magnet Plant","nan-magnetech-to-invest-inr-1250-cr-in-ndfeb-magnet-plant","N.A.N. 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It is capable of highly natural and intuitive intercommunication with humans through the context-dependent generation of natural language. The technology incorporates the company's Maisart\u003Csup>®\u003C\u002Fsup> compact AI technology to examine multimodal sensing information. This information consists of images & video captured with cameras, audio information recorded with microphones, and localization information measured with LiDAR.\u003C\u002Fp>\r\n\u003Cp>The company has further developed the Attentional Multimodal Fusion technology, which is capable of automatically prioritizing and weighting salient unimodal information to help suitable word selections for describing scenes. In benchmark testing using a common test set, this technology used audio & visual information to accomplish a Consensus-Based Image Description Evaluation (CIDEr) score that was noticeably higher than in using visual information only. CIDEr is an evaluation metric that measures the comparability of a created sentence against a set of ground-truth sentences composed by people. \u003C\u002Fp>\r\n\u003Cp>The blend of Attentional Multimodal Fusion with scene understanding technology and context-based natural language generation realizes a powerful end-to-end Scene-Aware Interaction system for highly intuitive interaction with users in various circumstances.\u003C\u002Fp>\r\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fmedia.magicwandmedia.in\u002Fposts\u002FAugust2020\u002F0722-1.jpg\" alt=\"\" width=\"520\" height=\"270\">\u003C\u002Fp>\r\n\u003Cp>Recent advances in deep neural networks are empowering machines to better comprehend their surroundings and interact with humans more naturally and intuitively. Scene-Aware Interaction technology is expected to have wide applicability, including human-machine interfaces(HMI) for in-vehicle infotainment, interaction with robots, health monitoring systems, complex surveillance systems to encourage social distancing, support for touchless operation of equipment in public areas, and much more. \u003C\u002Fp>\r\n\u003Cfigure>\u003Cimg style=\"width: 520px; height: 295px;\" src=\"https:\u002F\u002Fmedia.magicwandmedia.in\u002Fposts\u002FAugust2020\u002F0722-2.jpg\" alt=\"\">\r\n\u003Cfigcaption>Example of Scene-Aware Interaction providing contextual guidance\u003C\u002Ffigcaption>\r\n\u003C\u002Ffigure>\r\n\r\n\u003Cfigure>\u003Cimg style=\"width: 520px; height: 295px;\" src=\"https:\u002F\u002Fmedia.magicwandmedia.in\u002Fposts\u002FAugust2020\u002F0722-3.jpg\" alt=\"\">\r\n\u003Cfigcaption>Example of Scene-Aware Interaction providing guidance to avoid hazards\u003C\u002Ffigcaption>\r\n\u003C\u002Ffigure>\r\n\r\n\u003Cp>One such application in car navigation, will furnish drivers with instinctive route guidance. Generating voice warnings when nearby objects are anticipated to cross with the way of the vehicle. The system examines scenes to identify distinguishable, visual landmarks and dynamic components of the scene, and then utilizes those recognized objects and events to create intuitive sentences for guidance.\u003C\u002Fp>\r\n\r\n\u003Cp> For more information: \u003Cstrong>www.mitsubishielectric.com\u003C\u002Fstrong>\u003C\u002Fp>","https:\u002F\u002Fmedia.magicwandmedia.in\u002Fposts\u002FAugust2020\u002Fgig23FMksoEItdpZkdHB.jpg","https:\u002F\u002Fmedia.magicwandmedia.in\u002Fsocial\u002Fhorizontal\u002Fposts\u002FAugust2020\u002Fgig23FMksoEItdpZkdHB.jpg","2020-08-05T06:56:29+05:30",0,"Mitsubishi Electric has developed the world’s first Scene-Aware Interaction technology for natural, context-dependent communication.\nThe system utilizes Attentional Multimodal Fusion to prioritize visual, audio, and LiDAR data for highly accurate descriptions.\nThis innovative HMI technology is designed for applications ranging from automotive navigation and robotics to public safety and health monitoring.","The future of human-machine interaction is evolving rapidly. Mitsubishi Electric has unveiled its new 'Scene-Aware Interaction' technology, a breakthrough that allows machines to comprehend their surroundings through advanced multimodal sensing. By combining cameras, audio, and LiDAR, the system uses its proprietary Maisart® AI and Attentional Multimodal Fusion to generate natural language responses based on real-time context. From intuitive car navigation and hazard warnings to advanced robotics and touchless public systems, this technology marks a significant leap in how we interface with complex environments. As we look toward the next generation of smart interfaces, this development underscores the growing necessity for machines that don't just process data, but truly understand the scene. #HMI #ArtificialIntelligence #Innovation","Mitsubishi Electric’s new Scene-Aware Interaction technology uses multimodal AI to make machines understand their surroundings and communicate naturally. A game-changer for the future of HMI and smart robotics. #AI #TechInnovation","Is your tech actually listening to the world around it? 🌍🤖 Mitsubishi Electric just unveiled a major breakthrough: 'Scene-Aware Interaction' technology! By combining cameras, microphones, and LiDAR, this smart system can literally describe its surroundings to provide intuitive guidance. Whether it’s helping with safer car navigation or enabling touchless public interactions, this AI-powered shift is changing how we bridge the gap between humans and machines. It’s not just about processing data anymore—it’s about understanding the scene in real-time. 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