THURSDAY - OCTOBER 18, 2018
 
05:00 PM
05:45 PM

Optimizing NVIDIA GRID Virtual GPU for the Best VDI User Experience

Gartner states that user experience is the single most important predictor of VDI success. From evolving design and engineering workflows to the new performance challenges of Windows 10, traditional performance metrics can no longer capture true user experience. NVIDIA has taken standard testing to the next level, enabling customers to achieve successful enterprise-wide VDI deployments. 


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Presenter:
Erik Bohnhorst, Manager, Professional Visualization Performance Engineering, NVIDIA
Room: Hall H

SIL8103 - Professional Visualization
01:00 PM
01:45 PM

Deep Learning and Beyond

Attend this session to learn how Deep Learning is delivering breakthrough results across a wide range of industries and applications. We'll review the most effective neural networks for a variety of use cases, the latest GPU-accelerated algorithms...


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Presenter:
Will Ramey, Sr. Director, Deep Learning Institute, NVIDIA
Room: Hall K/L

SIL8142 - Deep Learning and AI, Autonomous Vehicle Technologies, Accelerated Data Science, Professional Visualization, AI in Healthcare
02:00 PM
02:45 PM

Deep Learing for Image Understanding

In this session, Amir will describe deep learning models that can use context to make predictions. Specifically, he will describe recent models for image annotation and text categorization. The models we consider iteratively refine their prediction by considering how each prediction components is influenced by other components...


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Presenter:
Amir Globerson, Associate Professor of Computer Science, Tel Aviv University
Room: Hall K/L

SIL8135 - Deep Learning and AI, Autonomous Vehicle Technologies, Accelerated Data Science, Professional Visualization
02:00 PM
02:45 PM

GPU Accelerated Machine Learning

Artificial Intelligence is a wide field where different types of learning models serve different kinds of tasks. Deep neural networks (DL), for example, are great for data with spatial-temporal locality like images, audio, and text. However, for data without inherent locality, non-neural network machine learning algorithms....


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Presenter:
Paul Mahler, Senior Data Scientist and Technical Product Manager for Machine Learning, n
Room: Hall I

SIL8137 - Professional Visualization
04:00 PM
04:45 PM

Practical Realtime Raytracing with RTX - From Concepts to Implementation

Bring real-time raytracing into your raster-based application using NVIDIA RTX and Microsoft DXR or Vulkan. This session will cover and connect the RTX principles with the implementation details to add raytracing from the ground up. You will learn all about setting up acceleration structures, raytracing pipelines and shader binding tables through simple and progressive additions. 


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Presenter:
Pascal Gautron, Senior Developer Technology Engineer, NVIDIA
Room: Hall D

SIL8149 - Professional Visualization
03:00 PM
03:45 PM

Super-Resolution for Aliased Images

In this talk we discuss different techniques for training the super resolution algorithm with the focus on producing high quality results on the highly aliased and noisy data. Though such artifacts are not often present in the real images, they frequently appear in gaming and animation images and videos....


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Presenter:
Ahmad Kiswani, Deep Learning Engineer, NVIDIA
Room: Hall D

SIL8154 - Deep Learning and AI, Professional Visualization