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Everything announced at Nvidia's Fall GTC 2021: Omniverse Avatar, CuQuantum, Clara Holoscan and more

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A synthetic camera image and corresponding ground-truth data showing instance segmentation generated by NVIDIA DRIVE Sim powered by Omniverse Replicator. Nvidia this week is showcasing how it plans to help enterprises jump into the virtual world, enabling life-like simulations and engaging avatars. Its plans for expanding Omniverse, its platform for extending workflows into the virtual sphere, were just part of several announcements delivered on Day One of Nvidia's fall Graphics Technology Conference (GTC) 2021, where the chipmaker is laying out its plans to advance accelerated computing. "A constant theme you'll see -- how Omniverse is used to simulate digital twins of warehouses, plants and factories, of physical and biological systems, the 5G edge, robots, self-driving cars, and even avatars," Nvidia CEO Jensen Huang said in prepared remarks. Underscoring the scale of Nvidia's ambitions for Omniverse, Huang said Nvidial will build a digital twin to simulate and predict climate change, E-2, or Earth Two. Along with Omniverse expansions, Nvidia announced a range of new Nvidia products and initiatives, spanning enterprise AI, cybersecurity and quantum computing, as well as advances in automotive and healthcare.


Nvidia wants to fill the virtual and physical worlds with AI avatars

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Nvidia has announced a new platform for creating virtual agents named Omniverse Avatar. The platform combines a number of discrete technologies -- including speech recognition, synthetic speech, facial tracking, and 3D avatar animation -- which Nvidia says can be used to power a range of virtual agents. In a presentation at the company's annual GTC conference, Nvidia CEO Jensen Huang showed off a few demos using Omniverse Avatar tech. In one, a cute animated character in a digital kiosk talks a couple through the menu at a fast food restaurant, answering questions like which items are vegetarian. The character uses facial-tracking technology to maintain eye-contact with the customers and respond to their facial expressions. "This will be useful for smart retail, drive-throughs, and customer service," said Huang of the tech.


NVIDIA Unveils Its Four Pillars Of XR Development [PAID]

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On the occasion of the upcoming GTC, I had the opportunity of speaking with two very important people that work every day at innovating XR at NVIDIA: David Weinstein, Director of Virtual and Augmented Reality, and Gregory Jones, Director of Global Business Development/Product Management. I had an interesting chat with them about NVIDIA's vision for the future, they also clarified to me what NVIDIA Omniverse is, and when 5G cloud streaming can become reality. As a full disclaimer, this is a paid article that I'm writing for a recent collaboration I started with NVIDIA to help them promote GTC, NVIDIA's flagship event, that this year will be held online on March 21st-24nd. You know me well, so you know that if I accepted a similar collaboration it is only because NVIDIA guaranteed me that it could be valuable for you, my readers. And in fact, this post is so full of interesting information that it doesn't look like a paid one at all This collaboration also lets me offer you one special bonus: if you live in the EMEA area (Europe, Middle East, Africa), if you register for the GTC event using my referral code https://www.nvidia.com/gtc/?ncid The graphics card will be extracted from all those who used my referral to register and who then followed at least one session during the event (the keynote does not count and just registering is not enough). I have not millions of followers, so the odds of winning aren't bad: it can be worth trying You can discover more about the GTC and some of its cool XR sessions in the remainder of this article.


NVIDIA Envisions AI For Everything

#artificialintelligence

The 2021 NVIDIA Global Technology Conference (GTC) focused on increasingly sophisticated ways to use the company's graphs processing units (GPUs) and its CUDA GPU applications software. Originally developed to accelerate image rendering for electronic gaming (still a major market for these devices), GPUs are also used in many artificial intelligence applications, such as machine learning. In addition to storage and memory implications from the GTC we will include some information on announcements around the 2021 Super Computing Conference (SC21). At the 2021 conference Jensen Huang, CEO of NVIDIA talked about the company's latest developments in applying GPUs for video rendering, autonomous vehicles, intelligent avatars and virtual assistants, drug discovery, fire management, 5G beam-forming, quantum computing simulation, factory and product optimization using digital twins and an ambitious project to create a digital twin of the earth for climate modelling (an example of what Jensen calls an Omniverse). All of these applications will drive the acquisition, processing and storage of greater amounts of data from embedded devices to the edge and into the data center.


NVIDIA Envisions AI For Everything

#artificialintelligence

The 2021 NVIDIA Global Technology Conference (GTC) focused on increasingly sophisticated ways to use the company's graphs processing units (GPUs) and its CUDA GPU applications software. Originally developed to accelerate image rendering for electronic gaming (still a major market for these devices), GPUs are also used in many artificial intelligence applications, such as machine learning. In addition to storage and memory implications from the GTC we will include some information on announcements around the 2021 Super Computing Conference (SC21). At the 2021 conference Jensen Huang, CEO of NVIDIA talked about the company's latest developments in applying GPUs for video rendering, autonomous vehicles, intelligent avatars and virtual assistants, drug discovery, fire management, 5G beam-forming, quantum computing simulation, factory and product optimization using digital twins and an ambitious project to create a digital twin of the earth for climate modelling (an example of what Jensen calls an Omniverse). All of these applications will drive the acquisition, processing and storage of greater amounts of data from embedded devices to the edge and into the data center.