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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....

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. ....

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...

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...

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...

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. 

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...

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...

Accelerating Deep Learning Applications (Presented by Mellanox Technologies)
Come join us and learn how to build a data-centric GPC cluster for artificial intelligence. Mellanox is a leader in hig-performance, scalable, low-latency network interconnects for bot InfiniBand and Eternet. We will briefly present the state of the art techiques for distributed machine learning and what special requirements they impose on the system,
 

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. ...

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.