Paul Joonhwa Shin’s Post

With the implementation of single-view 3D tracking in NVIDIA DeepStream, occlusions in IVA visual perception are effectively mitigated. Read the blog to learn how this breakthrough promises to enhance object tracking accuracy. #AI #computervision https://nvda.ws/4aoSS7E

Explore Refik Anadol's 'Large Nature Model: A Living Archive' - a multi-sensory work created using NVIDIA's AI technology. At NVIDIA's GTC, the very center of AI innovation and developing technologies, running March 18-21 in San Jose, you can also also immerse yourself in 'Large Nature Model,' a generative AI model focused exclusively on nature. #nvidialife #gtc24

"Huang and Zuckerberg will discuss the future of AI and simulation and the pivotal role of research at SIGGRAPH, which focuses on the intersection of graphics and technology. The two leaders will consider how fundamental research is enabling AI breakthroughs, and how generative AI and open source will empower developers and creators. They'll also reflect on the role of generative AI in building virtual worlds, and virtual worlds for building the next wave of AI and robots." https://lnkd.in/df8stdDV

🚀 Exciting news! NVIDIA has advanced physical AI by contributing the largest indoor synthetic dataset to the AI City Challenge at CVPR. 🌐 Over 700 teams from nearly 50 countries tested AI models on datasets generated using NVIDIA Omniverse, enhancing solutions for smart cities and industrial automation. 🏙️🤖 This dataset, crucial for AI training, helps create digital twins of physical environments like factories and warehouses, optimizing operational efficiency and safety. 🏭🔧 The AI City Challenge featured multiple tracks, including multi-camera person tracking, with NVIDIA’s synthetic data driving innovation. 🔍📊 This effort highlights the transformative potential of synthetic data in AI development. 🌟 #AI #SyntheticData #SmartCities https://lnkd.in/dzwvrgdp

YOLOv7, Accelerated using NVIDIA TensorRT on a Jetson Nano device! Achieving around 17 FPS 👌 live camera feed is through a Microsoft Kinect V2 sensor 🎥 Deploying Deep Learning models on edge AI devices is tricky, as these devices do not have the large computational power required to run large models quickly, TensorRT is an SDK made by NVIDIA that performs a number of optimizations for a neural network that tweaks performance to get the best of your GPU, learn more here https://shorturl.at/loi8W NVIDIA Robotics #DeepLearning #TensorRT

For Nvidia, spatial AI and the ‘omniverse’ entering physical world may be the next big thing Spatial AI is needed to replicate the physical world, ensuring humans and intelligent machines can safely coexist.

#Synthesia debuts AI Avatar of #NVIDIA CEO Jensen Huang at #Computex 2024. "In a jaw-dropping moment today at COMPUTEX 2024, NVIDIA founder and CEO Jensen Huang revealed an AI avatar of himself during his live keynote. Built by Synthesia, the avatar is powered by EXPRESS-1, our latest AI model, which has been trained to understand the intricate relationship between what we say and how we say it, and to reproduce human emotions and mannerisms with incredible detail. " https://lnkd.in/emMvgfm7

https://lnkd.in/exA8bDYH will be interesting today. "They’ll also discuss the role of generative AI in building virtual worlds, and virtual worlds for building the next wave of AI and robots." Who knew ;)

Take a moment to watch this 6 minute video and see how NVIDIA AI is outperforming all others. It shows why Nvidia one of the top companies leading the charge in AI. Their innovations are not only groundbreaking but also pivotal for so many industries beyond the creative and digital. And it is much more than highly specialised GPUs. From generating videos and fully rigged 3D models to building metaverse worlds and highly complex realtime data visualisation at scale, Nvidia AI is pushing the boundaries of what's possible. And not only that, they are also extremely fast, efficient and optimised. 5000x faster 👀 ❤️ Watch the video if you are a creative or technologist and don’t miss the first link the bio section to a nerdy science article on nature.com explaining how computer graphics research has evolved over the past 20 years to come to this point. Interesting read! It's still early days, this potential is immense. Where does this end? #AI #Nvidia #GH200 #GraceHopper #Graphics #Computation #Innovation #Tech #Models #3DModeling #Optimisation #Metaverse https://lnkd.in/e4pMjPMW

This marriage between utility & creativity is the accelerator we’ve been waiting for - great time to be alive (for both humans & AI)! 🤙🏽🤙🏽🤙🏽🚀 Reality Reimagined: NVIDIA Introduces fVDB to Build Bigger Digital Models of the World https://lnkd.in/gxEqW3y9