Meet our featured AI and Deep Learning experts from Amazon, Microsoft, Stanford and more, speaking at #GTC17 this year.

1. GTC 2017
The Next Generation of
AI and Deep Learning

2. THE GPU TECHNOLOGY CONFERENCE (GTC) IS THE EVENT OF THE
YEAR FOR DEEP LEARNING, ARTIFICIAL INTELLIGENCE, AND GPU
DEVELOPERS.

3. Image Source: NVIDIA
GTC offers valuable training and
a showcase of the most vital
work in the computing industry
today – including artificial
intelligence and deep learning,
healthcare, virtual reality,
accelerated analytics, and self-
driving cars.
THE POWER OF GTC

4. FOR DEEP LEARNING AND AI
GTC 2017 brings industry experts, data scientists and business leaders to
discuss how deep learning can transform their digital business. The track
will showcase NVIDIA, customer and partner solutions leveraging GPUs to
accelerate data processing and visualization to provide deeper insights.
Joseph Spisak
AMAZON
Manager of Product Management
for Amazon AI
Anirdudh Koul
MICROSOFT
Deep Learning Data Scientist
Oliver Gevaert
STANFORD UNIVERSITY
Assistant Professor

5. • Lex Fridman, MIT
• Andrew Gibiansky, Baidu SVAIL
• Bradley Erickson, Mayo Clinic
• Bryan Goodman, Ford Motor Company
• Joseph Bradey, Databricks, Inc.
• Joseph Spisak, Amazon
• Anirudh Koul, Microsoft
• Stephen Merity, Salesforce Research
• Olivier Gevaert, Stanford University
FEATURED DEEP
LEARNING SPEAKERS
AT GTC17

6. ABOUT THE SPEAKER:
JOSEPH SPISAK
Joseph Spisak has experience driving strategies
and business engagements around machine
learning-based cloud workloads such as
computer vision, natural language processing,
video summarization, and speech recognition,
and managed P&Ls at the $200 million-plus level
LEARN MORE: Linkedin | Blog | Session

7. ABOUT THE SPEAKER:
ANIRUDH KOUL
Anirudh Koul is a data scientist at Microsoft.
Anirudh brings a decade of applied research
experience on petabyte-scale social media
datasets, including Facebook, Twitter, Yahoo
Answers, Quora, Foursquare, and Bing. Adept
at rapidly prototyping ideas, Anirudh has won
over two dozen innovation, programming, and
24-hour hackathons.
LEARN MORE: Linkedin | Blog | Session

8. ABOUT THE SPEAKER:
STEPHEN MERITY
Stephen Merity is a senior research scientist at
Salesforce Research, joining as part of the
MetaMind acquisition. Stephen holds a master's
degree in computational science and engineering
from Harvard University and a bachelor of
information technology from the University of
Sydney.
LEARN MORE: Linkedin | Blog | Session

9. ABOUT THE SPEAKER:
OLIVER GEVAERT
Olivier Gevaert is an assistant professor at
Stanford University focusing on developing
machine-learning methods for biomedical
decision support from multi-scale biomedical
data. He is an electrical engineer by training
with additional training in artificial
intelligence, and a Ph.D. in bioinformatics at
the University of Leuven, Belgium.
LEARN MORE: Linkedin | Research | Session

10. ABOUT THE SPEAKER:
LEX FRIDMAN
Lex Fridman is a Postdoctoral Associate at the
MIT AgeLab. He received his BS, MS, and PhD
from Drexel University where he worked on
applications of machine learning and numerical
optimization techniques in a number of fields
including robotics, ad hoc wireless networks,
active authentication, and activity recognition.
LEARN MORE: Bio | Research | Session

11. ABOUT THE SPEAKER:
ANDREW GIBIANSKY
Andrew is a software engineer and machine
learning scientist at Baidu SVAIL with an interest
in deep learning, computational biology, and
most other interesting computational problem. I
have an extensive background in computer
science and applied mathematics.
LEARN MORE: Bio | Research | Session

12. ABOUT THE SPEAKER:
BRADLEY ERICKSON
Brad Erickson received his M.D. and Ph.D. from
Mayo Clinic. He went on to be trained in
radiology, and then a neuroradiology fellowship
at Mayo, and has been on staff at Mayo for 20
years. He does clinical neuroradiology, has been
chair of the Radiology Informatics Division, and
is currently associate chair for research.
LEARN MORE: Linkedin | News | Session

13. ABOUT THE SPEAKER:
BRYAN GOODMAN
Bryan Goodman leads Ford Motor Company's
machine learning for autonomous vehicles
department, including groups in Michigan,
California, and Israel. Bryan has applied
machine learning and optimization methods to
business analytics problems at Ford for 15 years.
LEARN MORE: Linkedin | Research | Session

14. ABOUT THE SPEAKER:
JOSEPH BRADLEY
Joseph Bradley is an Apache Spark
Committee member and PMC member
working on machine learning at Databricks.
Previously, he was a postdoc at UC Berkeley,
after receiving his Ph.D. in machine learning
from Carnegie Mellon University.
LEARN MORE: Linkedin | Blog | Session

15. MEET HUNDREDS MORE INNOVATIVE DEEP
LEARNING AND AI EXPERTS AT GTC17
REGISTER NOW
Use our Discount Code CMGTC17DL for 20% off