Every industry will be empowered by AI from autonomous vehicles and robotics to healthcare and agriculture. The computational power that AI can provide will streamline workflows, maximize efficiencies, and open doors to new discoveries.

1. Key Highlights from GTC DC 2018
The AI Opportunity in Federal

2. “It’s Clear NVIDIA is Leading the
A.I. Revolution”
-TheStreet
source: https://www.thestreet.com/investing/nvidia-is-leading-the-a-i-revolution-14754500

3. Deep Learning Institute
18 Workshops
Professional Talks
238 Speakers + 140 Sessions
Show Floor
41 Exhibitors
GTC Washington D.C. had a record showing with 2,000+ attendees, bringing together agency leaders, congressional staff,
entrepreneurs, developers, and startups from various industries to discuss the opportunity of better serving the public good
by partnering with AI and leveraging its capabilities.

4. “Artificial intelligence has the potential to
improve citizen services, kickstart the economy
and create a more efficient government…”
-Nextgov
Every industry will be empowered by AI from autonomous vehicles and
robotics to healthcare and agriculture. The computational power that AI can
provide will streamline workflows, maximize efficiencies, and open doors to
new discoveries.
source: https://www.nextgov.com/analytics-data/2018/10/federal-cio-artificial-intelligence-initiatives-will-flop-without-quality-data/152280/

5. “AI is a priority of this entire administration, our lawmakers and our federal leaders.”
-FCW
AI adoption is growing quickly on a global scale. Suzette Kent, CIO of the U.S. Government, addressed that AI policy and
AI enablement across all industries is a top priority issue. She stressed the importance of implementing the technology
ethically and partnering with experts from every industry to understand how to best integrate the technology to
augment our workforce.
source: https://fcw.com/articles/2018/10/24/kent-cio-ai-gunter.aspx

6. “[Agencies] are using drones that map disaster-stricken areas and facial
recognition to speed up air travel.”
-Federal News Network
In 2017, the U.S. spent $306B to support natural
disaster relief efforts. The opportunity to bring AI to
help first responders will increase response times and
save lives not just at a national level, but on a global
scale.
source: https://federalnewsnetwork.com/artificial-intelligence/2018/10/dod-sees-ais-potential-in-addressing-humanitarian-disaster-relief-challenges/

7. “Scripps Research
Translational Institute and
NVIDIA will collaborate to
create deep learning tools
aimed at deriving actionable
insights from genomic and
medical sensor data.”
-Health Data Management
Bringing AI into medicine can revolutionize the industry by
providing faster diagnosis and time to treatment. Scripps and
NVIDIA will look to combat this by building datasets, training
tools and models to accelerate the AI transformation in early
disease prediction and prevention.
source: https://www.healthdatamanagement.com/news/scripps-nvidia-to-partner-on-deep-learning-research

8. “Red Hat, NVIDIA regulate on open source
offerings to accelerate emerging workloads
like artificial intelligence.”
-Computer Technology Review
As AI begins to integrate with enterprise data science teams, they require something that will not impact their performance or
workflows. NVIDIA’s partnership with Red Hat will allow data scientists to tap into the computing performance of DGX-1 with the
operational familiarity of Red Hat.
source: http://wwpi.com/2018/10/23/red-hat-nvidia-regulate-on-open-source-offerings-to-accelerate-emerging-workloads-like-artificial-intelligence/

9. “We are now at that point where we’re saying ‘help us think through the right
metrics,”’ to prove that a car driven by artificial intelligence is at least as safe
as a human driver.”
-Bloomberg
NVIDIA’s own autonomous vehicle, BB8, traveled 50 miles around the
bay area completely autonomous. NVIDIA became the fifth company
to submit a self-driving safety inspection report.
source: https://www.bloomberg.com/news/articles/2018-10-23/self-driving-car-industry-needs-better-metrics-dot-s-kan-says

10. “RAPIDS is NVIDIA’s new open-source software that serves as a GPU-acceleration
platform to give companies ability to analyze massive amounts of data and make
accurate business predictions at unprecedented speed.”
-Avionics
NVIDIA’s new open-source software, Rapids, brings GPU
acceleration to data science. RAPIDS achieves speedup factors
of 50x or more on typical end-to-end data science workflows.

12. To learn more about NVIDIA in government, visit:
https://www.nvidia.com/public-good