GTC ON-DEMAND

 
SEARCH SESSIONS
SEARCH SESSIONS

Search All
 
Refine Results:
 
Year(s)

SOCIAL MEDIA

EMAIL SUBSCRIPTION

 
 

GTC ON-DEMAND

Presentation
Media
Abstract:
David Luebke, NVIDIAs VP of Graphics Research, will give his annual address on NVIDIAs vision for the future of virtual and augmented reality. Luebke will focus on recent and ongoing research happening within NVIDIA, ranging from foveated display, to AI-powered gaze tracking, to ultra-lightweight prescription display optics, to technologies for Cloud VR beyond streaming pixels. Luebke will conclude by showcasing NVIDIAs latest developments in synthesizing virtual humans, and discuss how such technologies might be integrated with the demanding settings of virtual and augmented  reality.
David Luebke, NVIDIAs VP of Graphics Research, will give his annual address on NVIDIAs vision for the future of virtual and augmented reality. Luebke will focus on recent and ongoing research happening within NVIDIA, ranging from foveated display, to AI-powered gaze tracking, to ultra-lightweight prescription display optics, to technologies for Cloud VR beyond streaming pixels. Luebke will conclude by showcasing NVIDIAs latest developments in synthesizing virtual humans, and discuss how such technologies might be integrated with the demanding settings of virtual and augmented  reality.  Back
 
Topics:
Virtual Reality & Augmented Reality
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9916
Streaming:
Share:
 
Abstract:

Generative methods allow a computer to automatically distill the essence of a dataset and then produce novel examples that are indistinguishable from the original data. That's the promise, but getting there has been difficult. This talk focuses on recent advances in generative adversarial networks (GAN), describing ideas that have finally enabled the synthesis of credible high-resolution images. It also covers recent work by NVIDIA (StyleGAN) that makes the image generation more controllable by borrowing ideas from style transfer literature, and also leads to an interesting, unsupervised separation of high-level attributes (e.g. pose or identity in case of human faces) and inconsequential variation in the images (exact placement of hair, etc.).

Generative methods allow a computer to automatically distill the essence of a dataset and then produce novel examples that are indistinguishable from the original data. That's the promise, but getting there has been difficult. This talk focuses on recent advances in generative adversarial networks (GAN), describing ideas that have finally enabled the synthesis of credible high-resolution images. It also covers recent work by NVIDIA (StyleGAN) that makes the image generation more controllable by borrowing ideas from style transfer literature, and also leads to an interesting, unsupervised separation of high-level attributes (e.g. pose or identity in case of human faces) and inconsequential variation in the images (exact placement of hair, etc.).

  Back
 
Topics:
Animation & VFX, AI & Deep Learning Research
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9952
Streaming:
Share:
 
Abstract:

As a new computing paradigm, Virtual Reality (VR) is changing workflows and redefining how we interact with computers. Deep Learning (DL) is revolutionizing business processes, defining how autonomous machines interact with us and with the world, and demanding application developers learn new ways of working in every field touching compute. In this panel we explore the intersection of these two revolutions with VR industry innovators who are leveraging deep learning using NVIDIA GPU compute systems to bring depth to the VR experience. This discussion will focus on the use of Artificial Intelligence (AI) in both building rich VR environments and enhancing the user's interaction with the VR environment. Panelists will share their vision on how AI will shape the near future of VR and give the audience a view of potential challenges to that future. In this session, we will explore: o Pain points in creating VR experiences, which are driving adoption of AI in the VR space o Challenges encountered in using DL to bring rich content to life in a VR environment o Challenges of implementing DL-enhanced VR environment interaction within the latency-critical VR space o How DL/AI will continue to fundamentally change the VR space

As a new computing paradigm, Virtual Reality (VR) is changing workflows and redefining how we interact with computers. Deep Learning (DL) is revolutionizing business processes, defining how autonomous machines interact with us and with the world, and demanding application developers learn new ways of working in every field touching compute. In this panel we explore the intersection of these two revolutions with VR industry innovators who are leveraging deep learning using NVIDIA GPU compute systems to bring depth to the VR experience. This discussion will focus on the use of Artificial Intelligence (AI) in both building rich VR environments and enhancing the user's interaction with the VR environment. Panelists will share their vision on how AI will shape the near future of VR and give the audience a view of potential challenges to that future. In this session, we will explore: o Pain points in creating VR experiences, which are driving adoption of AI in the VR space o Challenges encountered in using DL to bring rich content to life in a VR environment o Challenges of implementing DL-enhanced VR environment interaction within the latency-critical VR space o How DL/AI will continue to fundamentally change the VR space

  Back
 
Topics:
Virtual Reality & Augmented Reality
Type:
Talk
Event:
GTC Washington D.C.
Year:
2018
Session ID:
DC8133
Streaming:
Share:
 
Abstract:

The U.S. is the world leader in developing AI technologies, but other countries are catching up. What must the U.S. do to sustain and strengthen its global leadership in AI research and development? What are the challenges and what more can and should be done by industry and the government to advance AI?

The U.S. is the world leader in developing AI technologies, but other countries are catching up. What must the U.S. do to sustain and strengthen its global leadership in AI research and development? What are the challenges and what more can and should be done by industry and the government to advance AI?

  Back
 
Topics:
Leadership and Policy in AI
Type:
Panel
Event:
GTC Washington D.C.
Year:
2018
Session ID:
DC8188
Streaming:
Share:
 
Abstract:

Artificial Intelligence has the potential to advance some of the thorniest problems in virtual and augmented reality. Come hear a panel of experts from across the VR industry talk about how deep learning can revolutionize topics ranging from gaze tracking, to user pose sensing and avatar control, to rendering for focus-capable displays, and discuss applications, limitations, and implications of AI in VR.

Artificial Intelligence has the potential to advance some of the thorniest problems in virtual and augmented reality. Come hear a panel of experts from across the VR industry talk about how deep learning can revolutionize topics ranging from gaze tracking, to user pose sensing and avatar control, to rendering for focus-capable displays, and discuss applications, limitations, and implications of AI in VR.

  Back
 
Topics:
Virtual Reality & Augmented Reality
Type:
Panel
Event:
GTC Washington D.C.
Year:
2018
Session ID:
DC8222
Streaming:
Share:
 
Abstract:
David Luebke, NVIDIAs VP of Graphics Research, will describe NVIDIAs vision for the future of virtual and augmented reality. Luebke will review some of the realities of virtual reality: challenges presented by Moores Law, battery technology, optics, wired and wireless connections. He will then discuss the implications and opportunities presented by these challenges, such as foveation and specialization, and conclude with a deep dive into how rendering technology, such as ray tracing, can evolve to solve the realities of virtual reality
David Luebke, NVIDIAs VP of Graphics Research, will describe NVIDIAs vision for the future of virtual and augmented reality. Luebke will review some of the realities of virtual reality: challenges presented by Moores Law, battery technology, optics, wired and wireless connections. He will then discuss the implications and opportunities presented by these challenges, such as foveation and specialization, and conclude with a deep dive into how rendering technology, such as ray tracing, can evolve to solve the realities of virtual reality  Back
 
Topics:
Graphics and AI
Type:
Talk
Event:
SIGGRAPH
Year:
2018
Session ID:
SIG1829
Streaming:
Share:
 
Abstract:
David Luebke, NVIDIAs VP of Graphics Research, will describe NVIDIAs vision for the future of virtual and augmented reality. Luebke will review some of the realities of virtual reality: challenges presented by Moores Law, battery technology, optics, wired and wireless connections. He will then discuss the implications and opportunities presented by these challenges, such as foveation and specialization, and conclude with a deep dive into how rendering technology, such as ray tracing, can evolve to solve the realities of virtual reality.
David Luebke, NVIDIAs VP of Graphics Research, will describe NVIDIAs vision for the future of virtual and augmented reality. Luebke will review some of the realities of virtual reality: challenges presented by Moores Law, battery technology, optics, wired and wireless connections. He will then discuss the implications and opportunities presented by these challenges, such as foveation and specialization, and conclude with a deep dive into how rendering technology, such as ray tracing, can evolve to solve the realities of virtual reality.  Back
 
Topics:
Virtual Reality & Augmented Reality
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8105
Streaming:
Share:
 
Abstract:

In this "state of the union" survey, we will review the technology, the components, and the challenges of virtual reality. We'll describe how GPUs fit into these challenges, and lay out NVIDIA Research's vision for the future of VR.

In this "state of the union" survey, we will review the technology, the components, and the challenges of virtual reality. We'll describe how GPUs fit into these challenges, and lay out NVIDIA Research's vision for the future of VR.

  Back
 
Topics:
Best of GTC Talks
Type:
Talk
Event:
SIGGRAPH
Year:
2016
Session ID:
SIG1614
Streaming:
Share:
 
Abstract:
We'll describe work by NVIDIA Research and our partners on challenges common to all wearable VR and AR displays:(1) FOCUS: how to put a display as close to the eye as a pair of eyeglasses, where we cannot bring it into focus? (2) FIELD OF VIEW: how to fill the user's entire vision with displayed content (3) RESOLUTION: how to fill that wide field of view with enough pixels. A "brute force" display would require 10,000 x 8,000 pixels per eye! (4) BULK: displays should be vanishingly unobtrusive, as light and forgettable as a pair of sunglasses, but the laws of optics dictate that most VR displays today are bulky boxes bigger than ski goggles. I will describe several "computational display" prototypes which sidestep these challenges by co-designing the optics, display, and rendering algorithm.
We'll describe work by NVIDIA Research and our partners on challenges common to all wearable VR and AR displays:(1) FOCUS: how to put a display as close to the eye as a pair of eyeglasses, where we cannot bring it into focus? (2) FIELD OF VIEW: how to fill the user's entire vision with displayed content (3) RESOLUTION: how to fill that wide field of view with enough pixels. A "brute force" display would require 10,000 x 8,000 pixels per eye! (4) BULK: displays should be vanishingly unobtrusive, as light and forgettable as a pair of sunglasses, but the laws of optics dictate that most VR displays today are bulky boxes bigger than ski goggles. I will describe several "computational display" prototypes which sidestep these challenges by co-designing the optics, display, and rendering algorithm.  Back
 
Topics:
Best of GTC Talks
Type:
Talk
Event:
SIGGRAPH
Year:
2016
Session ID:
SIG1615
Streaming:
Share:
 
Abstract:
We'll describe work by NVIDIA Research and our partners on challenges common to all wearable VR and AR displays:(1) FOCUS: how to put a display as close to the eye as a pair of eyeglasses, where we cannot bring it into focus? (2) FIELD OF VIEW: how to fill the user's entire vision with displayed content? (3) RESOLUTION: how to fill that wide field of view with enough pixels? A "brute force" display would require 10,000x8,000 pixels per eye! (4) BULK: displays should be vanishingly unobtrusive, as light and forgettable as a pair of sunglasses, but the laws of optics dictate that most VR displays today are bulky boxes bigger than ski goggles. I will discuss several "computational display" prototypes which sidestep these challenges by co-designing the optics, display, and rendering algorithm.
We'll describe work by NVIDIA Research and our partners on challenges common to all wearable VR and AR displays:(1) FOCUS: how to put a display as close to the eye as a pair of eyeglasses, where we cannot bring it into focus? (2) FIELD OF VIEW: how to fill the user's entire vision with displayed content? (3) RESOLUTION: how to fill that wide field of view with enough pixels? A "brute force" display would require 10,000x8,000 pixels per eye! (4) BULK: displays should be vanishingly unobtrusive, as light and forgettable as a pair of sunglasses, but the laws of optics dictate that most VR displays today are bulky boxes bigger than ski goggles. I will discuss several "computational display" prototypes which sidestep these challenges by co-designing the optics, display, and rendering algorithm.  Back
 
Topics:
Virtual Reality & Augmented Reality
Type:
Talk
Event:
GTC Silicon Valley
Year:
2016
Session ID:
S6738
Streaming:
Share:
 
Abstract:
GTC Fast Forward Poster program is an accelerated poster presentation program that serves as a catalyst for the advancement of an array of innovations that come from universities, research labs and industry. The GTC Poster Review Committee selected the best 20 posters submitted to GTC2016. This program gives the author a chance to present his GPU project in front of the top technology developer working in a vast array of industries.
GTC Fast Forward Poster program is an accelerated poster presentation program that serves as a catalyst for the advancement of an array of innovations that come from universities, research labs and industry. The GTC Poster Review Committee selected the best 20 posters submitted to GTC2016. This program gives the author a chance to present his GPU project in front of the top technology developer working in a vast array of industries.  Back
 
Topics:
General Interest, Press-Suggested Sessions: General Interest
Type:
Talk
Event:
GTC Silicon Valley
Year:
2016
Session ID:
S6797
Streaming:
Share:
 
Abstract:

NVIDIA Research reviews the technology, the components, and the challenges of virtual reality. We describe how GPUs are addressing these challenges, and our vision for the future of VR.

NVIDIA Research reviews the technology, the components, and the challenges of virtual reality. We describe how GPUs are addressing these challenges, and our vision for the future of VR.

  Back
 
Topics:
Virtual Reality & Augmented Reality, Press-Suggested Sessions: Virtual Reality
Type:
Talk
Event:
GTC Silicon Valley
Year:
2016
Session ID:
S6902
Streaming:
Share:
 
Abstract:
We will describe a new light-field-based approach to near-eye display that allows for dramatically thinner and lighter head-mounted display capable of depicting accurate accommodation, convergence, and binocular-disparity depth cues. Such near-eye light field displays depict sharp images from out-of-focus display elements by synthesizing light fields that correspond to virtual scenes located within the viewer's natural accommodation range. Building on related integral imaging displays and microlens-based light-field cameras, we optimize performance in the context of near-eye viewing. Near-eye light field displays support continuous accommodation of the eye throughout a finite depth of field; as a result, binocular configurations provide a means to address the accommodation convergence conflict that occurs with existing stereoscopic displays. We have built film-based static image prototypes, a binocular OLED-based prototype head-mounted display, and a GPU-accelerated stereoscopic light-field renderer.
We will describe a new light-field-based approach to near-eye display that allows for dramatically thinner and lighter head-mounted display capable of depicting accurate accommodation, convergence, and binocular-disparity depth cues. Such near-eye light field displays depict sharp images from out-of-focus display elements by synthesizing light fields that correspond to virtual scenes located within the viewer's natural accommodation range. Building on related integral imaging displays and microlens-based light-field cameras, we optimize performance in the context of near-eye viewing. Near-eye light field displays support continuous accommodation of the eye throughout a finite depth of field; as a result, binocular configurations provide a means to address the accommodation convergence conflict that occurs with existing stereoscopic displays. We have built film-based static image prototypes, a binocular OLED-based prototype head-mounted display, and a GPU-accelerated stereoscopic light-field renderer.  Back
 
Topics:
Virtual Reality & Augmented Reality
Type:
Talk
Event:
GTC Silicon Valley
Year:
2014
Session ID:
S4337
Streaming:
Download:
Share:
 
Abstract:

Modern graphics processing units, or GPUs, herald the democratization of parallel computing. Today's GPUs not only render video game frames, they also accelerate astrophysics, video transcoding, image processing, protein folding, seismic exploration, computational finance, radio astronomy, heart surgery, self-driving cars - the list goes on and on. It is imperative that we teach students parallel computing: they will inherit a world in which there exists no other kind. Meanwhile, the world of education is being shaken up by massively online open courses, or MOOCs, that offer a democratization of education. Universities and companies suddenly offer high quality courses over the internet - for free! - to anybody in the world. John Owens (UC Davis) and David Luebke (NVIDIA) have been teaching a MOOC focused on GPU computing. The Udacity course has over 40,000 register students from over 130 countries. This session will present their experience and thoughts on GPUs, MOOCs, and parallel computing education.

Modern graphics processing units, or GPUs, herald the democratization of parallel computing. Today's GPUs not only render video game frames, they also accelerate astrophysics, video transcoding, image processing, protein folding, seismic exploration, computational finance, radio astronomy, heart surgery, self-driving cars - the list goes on and on. It is imperative that we teach students parallel computing: they will inherit a world in which there exists no other kind. Meanwhile, the world of education is being shaken up by massively online open courses, or MOOCs, that offer a democratization of education. Universities and companies suddenly offer high quality courses over the internet - for free! - to anybody in the world. John Owens (UC Davis) and David Luebke (NVIDIA) have been teaching a MOOC focused on GPU computing. The Udacity course has over 40,000 register students from over 130 countries. This session will present their experience and thoughts on GPUs, MOOCs, and parallel computing education.

  Back
 
Topics:
Programming Languages
Type:
Talk
Event:
GTC Silicon Valley
Year:
2014
Session ID:
S4705
Streaming:
Share:
 
Abstract:

We invite you to a special presentation detailing our Academic Programs and all the ways NVIDIA supports teaching and research in higher education.You will find out what programs are available, what benefits they have, what our expectations are, who the key players are, best practices and how you can participate as an academic or researcher. The highlight of the session will be the CUDA Achievement Awards showcasing work at the CUDA Centers of Excellence. The CUDA Centers of Excellence (CCOEs) are institutions at the forefront of GPU computing teaching and research. If you are an academic researcher you won't want to miss this session!

We invite you to a special presentation detailing our Academic Programs and all the ways NVIDIA supports teaching and research in higher education.You will find out what programs are available, what benefits they have, what our expectations are, who the key players are, best practices and how you can participate as an academic or researcher. The highlight of the session will be the CUDA Achievement Awards showcasing work at the CUDA Centers of Excellence. The CUDA Centers of Excellence (CCOEs) are institutions at the forefront of GPU computing teaching and research. If you are an academic researcher you won't want to miss this session!

  Back
 
Topics:
Programming Languages
Type:
Talk
Event:
GTC Silicon Valley
Year:
2013
Session ID:
S3021
Streaming:
Download:
Share:
 
Abstract:

We invite you to a special presentation from our 2011-2012 Graduate Fellowship recipients to learn "what's next" in the world of research and academia. The NVIDIA Graduate Fellowship recipients were selected from 200 applications in 27 countries. Sponsored projects involve a variety of technical challenges, including computer architecture, computer vision, programmability and optimization for heterogeneous systems, automotive computing and much more. We believe that these minds lead the future in our industry and we are proud to support the 2011-2012 NVIDIA Graduate Fellows. For more information on the 2011-2012 NVIDIA Graduate Fellows, please visit www.NVIDIA.com/fellowship.

We invite you to a special presentation from our 2011-2012 Graduate Fellowship recipients to learn "what's next" in the world of research and academia. The NVIDIA Graduate Fellowship recipients were selected from 200 applications in 27 countries. Sponsored projects involve a variety of technical challenges, including computer architecture, computer vision, programmability and optimization for heterogeneous systems, automotive computing and much more. We believe that these minds lead the future in our industry and we are proud to support the 2011-2012 NVIDIA Graduate Fellows. For more information on the 2011-2012 NVIDIA Graduate Fellows, please visit www.NVIDIA.com/fellowship.

  Back
 
Topics:
General Interest
Type:
Talk
Event:
GTC Silicon Valley
Year:
2012
Session ID:
S2016
Streaming:
Download:
Share:
 
Abstract:

The future of computer graphics presents many challenges. The worlds we render will be vastly more complex in geometry and artistic texture. Real-time rendering will use global illumination to achieve a far richer appearance, robustly. And content creation, which has grown to be the dominant cost of producing both games and film, must get simpler and less expensive. The NVIDIA Graphics Research group addresses these challenges with a focus on Computational Graphics: using general-purpose computation to enhance and extend the traditional pipelines and capabilities of real-time rendering. In this talk David Luebke, who leads graphics research, will give an overview of recent and ongoing work in computational graphics at NVIDIA Research.

The future of computer graphics presents many challenges. The worlds we render will be vastly more complex in geometry and artistic texture. Real-time rendering will use global illumination to achieve a far richer appearance, robustly. And content creation, which has grown to be the dominant cost of producing both games and film, must get simpler and less expensive. The NVIDIA Graphics Research group addresses these challenges with a focus on Computational Graphics: using general-purpose computation to enhance and extend the traditional pipelines and capabilities of real-time rendering. In this talk David Luebke, who leads graphics research, will give an overview of recent and ongoing work in computational graphics at NVIDIA Research.

  Back
 
Topics:
Graphics and AI
Type:
Talk
Event:
GTC Silicon Valley
Year:
2012
Session ID:
S2609
Streaming:
Download:
Share:
 
Abstract:

To highlight and reward the excellent research taking place at our CCOEs, we hosted an event during GTC 2012 to showcase four of their top achievements.  Each of our 18 CCOEs was asked to submit an abstract describing what they considered to be their top achievement in GPU Computing over the past 18 months.  An NVIDIA panel selected four exemplars from these submissions to represent their work on GPU Computing research.  Each of our CCOEs has made amazing contributions, but the four CCOEs selected to showcase their work were:

 

  • Barcelona Supercomputing Center, OmpSs: Leveraging CUDA for Productive Programming in Clusters of Multi-GPU Systems
  • Harvard University, Massive Cross-correlation in radio Astronomy with Graphics Processing Units
  • Tokyo Tech, TSUBAME 2.0
  • University of Tennessee, MAGMA: A breakthrough in Solvers for Eigenvalue Problems

 

Each of the four CCOE finalists will be awarded an HP ProLiant SL250 Gen8 GPU system configured with dual NVIDIA Tesla K10 GPU accelerators in recognition of this accomplishment.  After the four presentations, the CCOE representatives were asked to vote for their favorite presentation and achievement. Tokyo Tech was voted as the audience favorite, and thus wins the extra bragging rights of being honored by their peers as the inaugural recipient of the CUDA Achievement Award 2012.

To highlight and reward the excellent research taking place at our CCOEs, we hosted an event during GTC 2012 to showcase four of their top achievements.  Each of our 18 CCOEs was asked to submit an abstract describing what they considered to be their top achievement in GPU Computing over the past 18 months.  An NVIDIA panel selected four exemplars from these submissions to represent their work on GPU Computing research.  Each of our CCOEs has made amazing contributions, but the four CCOEs selected to showcase their work were:

 

  • Barcelona Supercomputing Center, OmpSs: Leveraging CUDA for Productive Programming in Clusters of Multi-GPU Systems
  • Harvard University, Massive Cross-correlation in radio Astronomy with Graphics Processing Units
  • Tokyo Tech, TSUBAME 2.0
  • University of Tennessee, MAGMA: A breakthrough in Solvers for Eigenvalue Problems

 

Each of the four CCOE finalists will be awarded an HP ProLiant SL250 Gen8 GPU system configured with dual NVIDIA Tesla K10 GPU accelerators in recognition of this accomplishment.  After the four presentations, the CCOE representatives were asked to vote for their favorite presentation and achievement. Tokyo Tech was voted as the audience favorite, and thus wins the extra bragging rights of being honored by their peers as the inaugural recipient of the CUDA Achievement Award 2012.

  Back
 
Topics:
General Interest
Type:
Talk
Event:
GTC Silicon Valley
Year:
2012
Session ID:
S4000
Download:
Share:
 
 
Topics:
General Interest
Type:
Webinar
Event:
GTC Webinars
Year:
2011
Session ID:
GTCE001
Download:
Share:
 
 
Previous
  • Amazon Web Services
  • IBM
  • Cisco
  • Dell EMC
  • Hewlett Packard Enterprise
  • Inspur
  • Lenovo
  • SenseTime
  • Supermicro Computers
  • Synnex
  • Autodesk
  • HP
  • Linear Technology
  • MSI Computer Corp.
  • OPTIS
  • PNY
  • SK Hynix
  • vmware
  • Abaco Systems
  • Acceleware Ltd.
  • ASUSTeK COMPUTER INC
  • Cray Inc.
  • Exxact Corporation
  • Flanders - Belgium
  • Google Cloud
  • HTC VIVE
  • Liqid
  • MapD
  • Penguin Computing
  • SAP
  • Sugon
  • Twitter
Next