04:00 PM 04:45 PM |
Load-And-Go GPU Analytics: Overcoming the I/O Bottleneck for AI In this session, learn how to efficiently arrange data for consumption by GPUs for analytics. We'll take a look at how combining several modular components and ideas can deliver fast AI performance by limiting the effect of I/O on data-intense queries and models. We'll show how arranging data for the GPU, combined with fast GPU compression, metadata mapping.... ![]() Presenters: • Arnon Shimoni, Product Marketing Manager, SQream • Eyal Hirsch, GPU Software Developer, SQream Room: Hall I SIL8127 - Deep Learning and AI, Accelerated Data Science |
05:00 PM 05:45 PM |
The Deep Learning Approach to Natural Language Processing Deep Learning is revolutionizing Natural Language Processing (NLP). Written text is available everywhere, from text messages and social media posts and all the way to lengthy emails and blog posts. As an organization, being able to extract information from your customers' communications has the potential to give you a great advantage. .... ![]() Presenter: • Yuval Mazor, Solution Architect, NVIDIA Room: Hall K/L SIL8106 - Deep Learning and AI, Accelerated Data Science |
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... ![]() 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... ![]() 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 |
04:00 PM 04:50 PM |
Deep Reinforcement Learning Leading Industry 4.0 Deep Reinforcement Learning (DRL) is an emerging technology that is now allowing optimization of business processes that were not possible before, increasing efficiency and process output in the process. DRL opens a door into automation and optimization of systems that were considered chaotic... ![]() Presenter: • Michael Zolotov, Co-founder and CTO, Razor Labs Room: Hall K/L SIL8119 - Accelerated Data Science |
03:00 PM 03:45 PM |
GPU Accelerated Data Science Data Science/Data Mining is the exploration of data to extract novel knowledge and insight. That discovery process often involves a considerable amount of trial and error, after all, if you know what you are looking for you are not doing discovery. The Python programming language has grown in popularity amount data scientists for its flexibility, ease of programming, and readability. ![]() Presenter: • Keith Kraus, Engineering Manager Data Analytics, NVIDIA Room: Hall I SIL8136 - Accelerated Data Science |
03:00 PM 03:45 PM |
Revolutionizing a 4 Trillion Dollar Industry using Sub-Millimeter Imagery and AI In this session, CEO Ofir Schlam will talk about the huge opportunity in agriculture, a 4 Trillion dollar industry that saw little disruption in recent decades. Another unbelievable number is 35% - the amount of crop losses every farmer in the world faces annually by weeds, diseases, insects, and fertilizer deficiencies. Ofir will explain Taranis' unique AI challenges in developing AgroBrain – our AI agronomist and AgroSet the... ![]() Presenter: • Ofir Schlam, CEO, Taranis Room: Hall K/L SIL8133 - Deep Learning and AI, Accelerated Data Science |
05:00 PM 05:45 PM |
Simplifying AI Infrastructure: Lessons in Scaling on DGX Systems While every enterprise is on a mission to infuse its business with deep learning, few know how to build the infrastructure to get them there. Short-sighted approaches to data center design can lead to long-term consequences that make the ROI of AI elusive. NVIDIA has distilled the insights and best practices learned from deep learning deployments around the globe... ![]() Presenter: • Renee Yao, Senior Product Marketing Manager, Deep Learning and Analytics, NVIDIA Room: Hall I SIL8139 - Deep Learning and AI, Accelerated Data Science |
03:00 PM 03:25 PM |
Accelerating Deep Learning Applications (Presented by Mellanox Technologies) ![]() Presenter: • Gil Bloch, Principal Architect, Mellanox Technologies Room: Hall H SIL8145 - Accelerated Data Science |
01:00 PM 01:25 PM |
DDN A3I Storage Solutions: Extract More Answers From Your Data at Any Scale (Presented by DDN Storage) DDN is a leader in storage solution for data intensive workflows at scale. This session will cover DDN's activity across the various markets of data intensive AI and Machine learning. The session is built from market coverage down to the underlaying technology that DDN provides and its advantages for NVIDIA DGX and GPU accelerated workflows. ... ![]() Presenter: • Ran Pergamin, Senior Storage Solution Architect, DDN Storage Room: Hall H SIL8150 - Deep Learning and AI, Autonomous Vehicle Technologies, Accelerated Data Science, AI in Healthcare |
03:30 PM 03:55 PM |
The Role of IT in Production-Grade AI Applications (Presented by HPE) In this talk we will discuss how to approach the new architectural challenges that AI and DL introduce to your IT infrastructure. Your traditional compute, storage and networking is probably not enough! New AI and DL applications require much higher volume, performance and velocity, and you need to be prepared for it. Come and find out how container platforms, big data & analytics and specialized compute, storage & network solutions will assist your data scientists to bring the most out of their applications. ![]() Presenters: • Nir Oran, CTO, HPE • Eviatar Levy, Presales Consultant, HPE Room: Hall H SIL8148 - Accelerated Data Science |