THURSDAY - OCTOBER 18, 2018
 
04:00 PM
04:35 PM

Deep Learning Infrastructure for Autonomous Vehicles

We'll introduce deep learning infrastructure for building and maintaining autonomous vehicles. This includes techniques for managing the lifecycle of deep learning models from definition, training and deployment to reloading and life-long learning. DNN autocurates and pre-labels data in the loop...


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Presenter:
Adam Henryk Grzywaczweski, Solution Architect, NVIDIA
Room: Hall B

SIL8114 - Deep Learning and AI, Autonomous Vehicle Technologies, AI in Healthcare
03:00 PM
03:45 PM

Project Clara: AI Deployment in Healthcare

Although deep learning models have already demonstrated great capabilities when applied to medical image analysis tasks, their deployment and usage in clinical workflows is often inefficient and cumbersome. In this talk we discuss NVIDIA's solution to this issue: Project Clara. Clara is a platform built to facilitate deployment of DL algorithms in an efficient, scalable, and safe manner. We have designed Clara to tackle healthcare specific tasks and therefore ensure reliability and compatibility with current medical systems. 


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Presenter:
Eliron Amcir, Nucleai
Room: Hall M

SIL8128 - AI in Healthcare
02:00 PM
02:45 PM

Using Deep Learning to Predict Activity and Drug Response of Unknown Mutations

By applying deep learning to images of mutated cells interacting with drugs, we can predict how cells with unknown mutations respond to these drugs. State-of-the-art cancer treatment starts with sequencing a tumor biopsy. Alas, we don't know how most mutations act or respond to drugs. Therefore, the treating physician cannot integrate this data into the treating protocol. To solve this, ...


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Presenter:
Michael Vidne, CCO, NovellusDx
Room: Hall M

SIL8108 - Deep Learning and AI, AI in Healthcare
03:00 PM
03:45 PM

Accelerating Image Processing by 1000x using CUDA and V100 GPC

The goal of this session is to demonstrate and explain how GPU & CUDA can significantly accelerate image processing algorithms. In order to leverage the amazing power of GPU, the roofline model will be explained, demonstrating how to reduce memory bottlenecks using CUDA by increasing operation intensity(Fusion). 


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Presenter:
Eyal Rot, SW and Computing Architect, Applied Materials Israel
Room: Hall F/G

SIL8134 - Autonomous Machines and IoT, AI in Healthcare, Developer Tools
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
01:00 PM
03:00 PM

Medical Image Classification Using the MedNIST Dataset

This training applies convolutional neural networks (CNNs) to a medical imaging dataset. Students will learn how to collect, format, and standardize medical image data. They will architect and train a CNN on their dataset, and use it to classify novel medical images. This lab provides a practical introduction....

 


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Presenter:
Nicola Rieke, Solution Architect, NVIDIA
Room: Hall C1
- Deep Learning and AI, AI in Healthcare
01:00 PM
01:45 PM

Integrating AI Based Solutions into the Radiology Workflow - Stroke Use Case

In this presentation attendees can expect to gain a deeper understanding of the challenges and needs surrounding the integration of AI-based solutions into the clinical workflow, driving adoption and enabling maximal benefit. AI-based solutions have the potential to significantly improve healthcare processes, across the entire care-continuum. ....


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Presenter:
Tamar Schirman, Marketing Director, New Product Development, Radiology Informatics, Philips HealthTech
Room: Hall M

SIL8144 - Deep Learning and AI, AI in Healthcare
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. ...


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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
05:00 PM
05:45 PM

Deep Learning in Medical Imaging: Solving the Data Augmentation Challenge for Enhanced-Value Radiology Reporting

In this talk, Hayit will give an overview of the Deep Learning computer-aided detection and diagnosis tools they are developing, which can support the detection, segmentation and the characterization tasks of the radiologist. Examples will be presented in Chest Xray pathology identification....


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Presenter:
Hayit Greenspan, Associate Professor of Biomedical Engineering in the Faculty of Engine, Tel Aviv University
Room: Hall M

SIL8153 - AI in Healthcare
02:30 PM
02:55 PM

Medical Imaging and Deep Learning on PowerAI: Creating Technologies for Assisting Radiologists (Presented by IBM)

In this talk we will focus on how AI based healthcare support-systems can assist radiologists in analyzing medical imaging and clinical data. We will present a state-of-the-art DL based system for detection and prediction of Breast Cancer using mammography images and medical history and show how it can be used to improve cancer detection rate and optimize physician decision making.


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Presenter:
Adam Spiro, Research Scientist, IBM
Room: Hall H

SIL8156 - Deep Learning and AI, AI in Healthcare
04:00 PM
04:45 PM

AI Powered Revolution in Cancer Diagnostics

Cancer diagnostics, in many ways, has not changed much in the past century. Tissue biopsies are manually inspected under the microscope by Pathologists, performing "Pattern Recognition" with their eyes on microscopic images equivalent in size to 1000 X-ray images.


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Presenter:
Eliron Amcir, Nucleai
Room: Hall M

SIL8147 - AI in Healthcare