BROWSE GTC 2019 SESSIONS

WORKSHOPS MARCH 17, 2019
CONFERENCE MARCH 18-21, 2019

Save 30% off each pass when you purchase 5 of the same type.

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Save 30% off each pass when you purchase 5 of the same type.

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JOIN THE PREMIER AI CONFERENCE

NVIDIA’s GPU Technology Conference (GTC) is a global conference series providing training, insights, and direct access to experts on the hottest topics in computing today.
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HOT TOPICS

HOT TOPICS >

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TOP SESSIONS

TOP SESSIONS >

Choose from hundreds of sessions with global experts >

VALUABLE TRAINING

VALUABLE TRAINING >

Get hands-on training to transform
your work >

CONNECT WITH EXPERTS

CONNECT WITH EXPERTS >

See the many ways to connect and the leading organizations that attend >

HOT TOPICS

HOT TOPICS >

Learn the latest on the most dynamic topics and industries >

TOP SESSIONS

TOP SESSIONS >

Choose from hundreds of sessions with global experts >

VALUABLE TRAINING

VALUABLE TRAINING >

Get hands-on training to transform
your work >

This year’s speaker roster features a who’s who in AI and deeplearning... I attend nearly 75 events a year, and GTC is a don’t-miss.

- Patrick Moorhead, Forbes

From autonomous driving, ... robots, and drones to the move to general AI, GTC covers most of what will redefine our world this century.

- Rob Enderle, TGDaily

If you are interested in AI and ML, GTC is the place to be whether you are a developer, a data scientist or a business person.

- Patrick Moorhead, Forbes

If GPUs are time machines, then GTC is where you come see the future.

– Jensen Huang, NVIDIA

2019 TOPICS

DEEP LEARNING AND AI
AI / DEEP LEARNING
ACCELERATED DATA SCIENCE
ACCELERATED DATA SCIENCE
GRAPHICS / SIMULATION
GRAPHICS / SIMULATION
AUTONOMOUS MACHINES / IOT
INTELLIGENT MACHINES / IOT
HIGH PERFORMANCE COMPUTING
HIGH PERFORMANCE COMPUTING
DATA CENTER AND CLOUD
DATA CENTER AND CLOUD
DEVELOPER TOOLS
DEVELOPER TOOLS
AI FOR BUSINESS
AI FOR BUSINESS

2019 INDUSTRIES

AUTOMOTIVE / TRANSPORTATION
AUTOMOTIVE / TRANSPORTATION
MEDIA / ENTERTAINMENT
MEDIA / ENTERTAINMENT
FINANCE
FINANCE
HEALTHCARE / LIFE SCIENCES
HEALTHCARE / LIFE SCIENCES
GOVT / NATIONAL LABS / HIGHER ED
GOVT / NATIONAL LABS / HIGHER ED
AEC / MANUFACTURING / INDUSTRIAL
AEC / MANUFACTURING / INDUSTRIAL
TELECOMMUNICATIONS
TELECOMMUNICATIONS
RETAIL
RETAIL

2019 FEATURED SPEAKERS

JENSEN HUANG

JENSEN HUANG

NVIDIA
Founder and CEO

Opening Keynote

PIETER ABBEEL

PIETER ABBEEL

UC BERKELEY | COVARIANT. AI
Professor | Founder

Deep Learning for Robotics

AMY BUNSZEL

AMY BUNSZEL

AUTODESK
SVP

Women in AI

ERIC TOPOL

ERIC TOPOL

SCRIPPS RESEARCH TRANSLATIONAL INSTITUTE
Founder and Director

High-Performance Medicine to Go Deep

DANIEL RUBIN

DANIEL RUBIN

STANFORD UNIVERSITY
Professor of Biomedical Data Science, Radiology, and Medicine

Frontiers of AI in Medicine: Overcoming Current Challenges and Moving Beyond Classification

PAIGE BAILEY

PAIGE BAILEY

GOOGLE
TensorFlow Developer Advocate

An Introduction to TensorFlow 2.0

BENJAMIN HERNANDEZ

BENJAMIN HERNANDEZ

OAK RIDGE NATIONAL LABORATORY
Computer Scientist

GPU enhanced collaborative scientific visualization

SHALINI DE MELLO

SHALINI DE MELLO

NVIDIA
Senior Research Scientist

Learning Viewpoint Estimators with Few Examples

LEX FRIDMAN

LEX FRIDMAN

MIT
Research Scientist

Human-Centered Autonomous Vehicle

ELLEN DU

ELLEN DU

THE DOW CHEMICAL COMPANY
Research Scientist

Molecular Generative VAEs: Parallelization, Optimization, and Latent Space Analysis on the DGX-1

SIHAO DING

SIHAO DING

VOLVO CAR CORPORATION
Senior Research Engineer

Next-Generation Autonomous Parking System

ZHI YE

ZHI YE

BAIDU INC.
Senior Algorithm Engineer

Baidu Cloud AI Solution in Video Understanding

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FEATURED AI FOR BUSINESS SPEAKERS

OLIVER SCHABENBERGER

OLIVER SCHABENBERGER

SAS
PhD - Executive Vice President, Chief Operating Officer & Chief Technology

Artificial Intelligence: Technology's Inevitable Consequence

DEBRA KING

DEBRA KING

DUPONT AGRICULTURE
CIO

Fireside Chat: Driving AI Innovation During Business Transformation

CARLOS ESCAPA

CARLOS ESCAPA

AWS
Global Lead, AI/ML Consulting Practice

Framing Business Problems As Machine Learning Problems

VIEW TOPIC
JENSEN HUANG

JENSEN HUANG

NVIDIA
Founder and CEO
Opening Keynote

PIETER ABBEEL

PIETER ABBEEL

UC BERKELEY / COVARIANT. AI
Professor
Deep Learning for Robotics

AMY BUNSZEL

AMY BUNSZEL

AUTODESK
SVP
Women in AI

ERIC TOPOL

ERIC TOPOL

SCRIPPS RESEARCH TRANSLATIONAL INSTITUTE
Founder and Director
High-Performance Medicine to Go Deep

DANIEL RUBIN

DANIEL RUBIN

STANFORD UNIVERSITY
Professor of Biomedical Data Science, Radiology, and Medicine
Frontiers of AI in Medicine: Overcoming Current Challenges and Moving Beyond Classification

PAIGE BAILEY

PAIGE BAILEY

GOOGLE
TensorFlow Developer Advocate
An Introduction to TensorFlow 2.0

BENJAMIN HERNANDEZ

BENJAMIN HERNANDEZ

OAK RIDGE NATIONAL LABORATORY
Computer Scientist
GPU enhanced collaborative scientific visualization

SHALINI DE MELLO

SHALINI DE MELLO

NVIDIA
Senior Research Scientist
Learning Viewpoint Estimators with Few Examples

LEX FRIDMAN

LEX FRIDMAN

MIT
Research Scientist
Human-Centered Autonomous Vehicle

ELLEN DU

ELLEN DU

THE DOW CHEMICAL COMPANY
Research Scientist
Molecular Generative VAEs: Parallelization, Optimization, and Latent Space Analysis on the DGX-1

SIHAO DING

SIHAO DING

VOLVO CAR CORPORATION
Senior Research Engineer
Next-Generation Autonomous Parking System

ZHI YE

ZHI YE

BAIDU INC.
Senior Algorithm Engineer
Baidu Cloud AI Solution in Video Understanding

VIEW ALL SESSIONS

FEATURED AI FOR BUSINESS SPEAKERS

OLIVER SCHABENBERGER

OLIVER SCHABENBERGER

SAS
PhD - Executive Vice President, Chief Operating Officer & Chief Technology
Artificial Intelligence: Technology's Inevitable Consequence

DEBRA KING

DEBRA KING

DUPONT AGRICULTURE
CIO
Fireside Chat: Driving AI Innovation During Business Transformation

CARLOS ESCAPA

CARLOS ESCAPA

AWS
Global Lead, AI/ML Consulting Practice
Framing Business Problems As Machine Learning Problems

VIEW TOPIC

SPECIAL OFFERS

ACADEMIC, GOVERNMENT & NON-PROFIT SAVINGS
Receive a 50% discount when you register with a university, government, or non-profit email address. Must present credentials at check-in to receive badge.

GROUP SAVINGS
Purchase 5 or more of the same pass type to receive a 30% discount when you register.

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2019 SPONSORS

Interested in sponsoring, exhibiting or partnering at GTC 2019? Contact us for details.

DIAMOND
IBM

PLATINUM

ARROW
BOOZ ALLEN HAMILTOM
CISCO
DNN
KINETICA
MICROSOFT
NetApp
ORACLE
PURE STORAGE
SUPERMICRO
SEE ALL SPONSORS

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DEEP LEARNING FOR FULL-MOTION VIDEO ANALYTICS

Prerequisites: Basic experience with CNNs and C++
Abstract: Smart cities collect huge amounts of video footage that require advanced deep learning techniques to transform data into actionable insights. The first step in more complex deep learning workflows is detecting specific types of objects. This involves identification, classification, segmentation, prediction, and recommendation. In this workshop, you’ll learn how to:

  • Train and evaluate deep learning models using the TensorFlow object detection application programming interface (API)
  • Explore the strategies and trade-offs involved in developing high quality neural network models to track moving objects in large-scale video datasets
  • Optimize inference times using TensorRT for real-time applications

Upon completion, you’ll be able to deploy object detection and tracking networks to work on real-time, large-scale video streams.

FUNDAMENTALS OF DEEP LEARNING FOR NATURAL LANGUAGE PROCESSING

Prerequisites: Basic experience with Neural Networks
Abstract: Learn the latest deep learning techniques to understand textual input using natural language processing (NLP). You’ll learn how to:

  • Convert text to machine-understandable representation and classical approaches
  • Implement distributed representations (embeddings) and understand their properties
  • Train machine translators from one language to another

Upon completion, you’ll be proficient in NLP using embeddings in similar applications.

FUNDAMENTALS OF DEEP LEARNING FOR MULTI-GPUS

Prerequisites: Experience with stochastic gradient descent mechanics
Abstract: The computational requirements of deep neural networks used to enable AI applications like self-driving cars are enormous. A single training cycle can take weeks on a single GPU, or even years for the larger datasets like those used in self-driving car research. Using multiple GPUs for deep learning can significantly shorten the time required to train lots of data, making solving complex problems with deep learning feasible. This workshop will teach you how to use multiple GPUs to training neural networks. You'll learn:

  • Approaches to multi-GPU training
  • Algorithmic and engineering challenges to large-scale training
  • Key techniques used to overcome the challenges mentioned above

Upon completion, you'll be able to effectively parallelize training of deep neural networks using TensorFlow.

FUNDAMENTALS OF ACCELERATED COMPUTING WITH CUDA PYTHON

Prerequisites: Basic experience with Python and NumPy
Abstract: This workshop explores how to use Numba—the just-in-time, type-specializing Python function compiler—to accelerate Python programs to run on massively parallel NVIDIA GPUs. You’ll learn how to:

  • Use Numba to compile CUDA kernels from NumPy universal functions (ufuncs)
  • Use Numba to create and launch custom CUDA kernels
  • Apply key GPU memory management techniques

Upon completion, you’ll be able to use Numba to compile and launch CUDA kernels to accelerate your Python applications on NVIDIA GPUs.

Deep Learning for Robotics

Prerequisites: Basic experience with CNNs, circuits, and hardware.
Certification available: Explore how to create robotic solutions on an NVIDIA Jetson for embedded applications by applying computer vision models to perform detection and training a robot to actuate the correct output.

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