As enterprises increasingly integrate AI into their industrial operations to deliver more automated and autonomous facilities, more operations teams are becoming centralized in remote operations centers. From these centers, these teams monitor, operate, and provide expert guidance to distributed production sites. A new generation of 3D remote monitoring solutions, powered by advancements in��
]]>MediaTek is teaming with NVIDIA to integrate NVIDIA TAO training and pretrained models into its development workflow, bringing advanced AI and visual perception to billions of IoT edge devices.
]]>NVIDIA TAO Toolkit provides a low-code AI framework to accelerate vision AI model development suitable for all skill levels, from novice beginners to expert data scientists. With the TAO Toolkit, developers can use the power and efficiency of transfer learning to achieve state-of-the-art accuracy and production-class throughput in record time with adaptation and optimization.
]]>Edge computing is the practice of processing data physically closer to its source.
]]>The Intelligent Transportation Society (ITS) of America annual conference brings together a community of intelligent transportation professionals to network, educate others about emerging technologies, and demonstrate innovative products driving the future of efficient and safe transportation. As cities and DOT teams struggle with constrained roadway infrastructure and the need to build safer��
]]>What do a factory floor, retail store, and major roadway have in common? They are a few examples of valuable and constrained infrastructure that need to be optimized. Manufacturers aim for early detection of defects in the assembly process. Retailers seek to better understand their customer journey and deliver more frictionless checkout experiences. Traffic planners look to reduce traffic gridlock.
]]>When analyzing healthcare and life science data from a distance, bandwidth congestion, network reliability, and latency issues can negatively affect outcomes. This is critical when timing is so important. To address these concerns, forward-thinking healthcare organizations are adopting edge computing, in which data is analyzed and acted upon at the point of collection. AI-powered instruments��
]]>Today the terms Internet of Things (IoT), 5G, and edge computing are everywhere. With the explosive growth in IoT devices, the emergence of true 5G capable networks, and the growth in AI, organizations are trying to figure out how to use these trends to help them get ahead. As the leader in AI, NVIDIA is bringing these topics to the forefront of our annual NVIDIA GTC, taking place November 8��
]]>See the latest AI-vision advancements in developer tools, accelerated research, smart spaces, and deploying AI at the edge. With innovation happening across many industries, don��t miss all the exciting use cases and discoveries that will be presented at this GTC. NVIDIA GTC runs from November 8-11, with a focus on all things computer vision��including Intelligent Video Analytics��
]]>Automation and monitoring of industrial assets, systems, processes, and environments are increasingly important across manufacturing industries, including transportation, electronics, mining, and textiles. In order to implement safer and more productive practices, companies are automating their manufacturing processes with IoT sensors. IoT sensors generate vast amounts of data that��
]]>In an increasingly complex world, the need to automate and improve operational efficiency and safety in our physical spaces has never been greater. Whether it is streamlining the retail experience, tackling traffic congestion in our growing cities, or improving productivity in our factories��the power of AI and edge computing is critical. Video cameras are one of the most important IoT��
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