The document outlines 7 ways to boost AI research including streamlining workflow productivity through container technology on NVIDIA's NGC container registry, accessing hundreds of optimized applications through NVIDIA's GPU applications catalog, iterating large datasets faster through discounted NVIDIA TITAN RTX GPUs, solving real-world problems through NVIDIA's deep learning institute courses, gaining insights from industry leaders through talks at the GPU technology conference, acquiring high quality research data through open databases, and learning more about NVIDIA's solutions for higher education and research.

1. 1
SEVEN WAYS
TO BOOST
AI RESEARCH

2. 2
Research in AI is booming. The entire Scopus
database contains over 200,000 papers in the
field of computer science indexed with the
key term “Artificial Intelligence.” AI papers
on Scopus have increased 7x since 1996.
Sources: https://www.forbes.com/sites/louiscolumbus/2018/01/12/10-charts-that-will-change-your-perspective-on-artificial-intelligences-growth/#23811acd4758
http://cdn.aiindex.org/2018/AI%20Index%202018%20Annual%20Report.pdf

3. 3
From talks to software tools, browse
seven ways to speed up the path to
breakthroughs and publish research
more quickly.

4. 4
Streamline Workflow Productivity
From molecular dynamics to quantum chemistry
to visualization, container technology is being
rapidly adopted for a wide variety of subject
areas. NVIDIA’s NGC container registry offers
GPU-optimized deep learning frameworks, HPC
and visualization applications, machine learning
algorithms, and pre-trained models.
Source: https://www.nvidia.com/en-us/gpu-cloud/
#1
Learn More

5. 5
Access Hundreds of Optimized Applications
Hundreds of applications are already GPU
accelerated and the number is growing. It makes
the path to AI adoption possible and allows
researchers to access the software in minutes so
that they can quickly focus on their work.
Source: www.nvidia.com/gpu-applications/edu
#2
View Catalog

6. 6
Iterate Large Datasets Faster, Get Results Sooner
NVIDIA® TITAN RTX™ gives you faster
performance for training neural networks and
preparing large datasets. Now, university
educators and students can receive an exclusive
discount on NVIDIA TITAN RTX.
Source: https://www.nvidia.com/en-us/titan/titan-rtx/
#3
Get Started

7. 7
Solve Real-World Problems With AI and HPC
Training
Developing new applications using the latest
technology requires real-world skills you can only
get through hands-on experience. NVIDIA Deep
Learning Institute offers online, self-paced
courses to learn new techniques in deep learning,
accelerated computing, and robotics with real-
world problem sets.
Source: https://www.nvidia.com/en-us/deep-learning-ai/education/
#4
View Courses

8. 8
Gain Insight From Industry Leaders
From deep learning in robotics to AI in radiology,
watch the top higher education and research
talks that took place at the 2019 GPU Technology
Conference in San Jose. Bringing together
researchers and developers from around the
world, the premier AI and deep learning
conference is home to sharing critical industry
expertise and breakthroughs.
Source: https://on-demand-gtc.gputechconf.com/gtcnew/on-demand-gtc.php
#5
Explore Sessions

9. 9
Acquire High Quality Research Data
Open databases are easily accessible and offer
large quantities of scientific knowledge,
information, and data. From government-led to
international and independent databases, browse
these websites to gain insight into people,
places, and peer studies to strengthen the
foundation of your research and education.
Source: https://www.nvidia.com/content/dam/en-us/Solutions/data-center/gated-resources/her-open-databases.pdf
#6
Learn More

10. LEARN MORE ABOUT SOLUTIONS IN HIGHER
EDUCATION AND RESEARCH
Learn More
Source: https://www.nvidia.com/en-us/industries/higher-education-research/