Read this week's top 5 news updates in deep learning and AI: NVIDIA and Carnegie Mellon announce a partnership to help disaster relief; NVIDIA and Scripps Research partner to advance AI for disease prediction; learn how GPUs will help your deep learning platform; MIT research showcases AI and human collaboration; NVIDIA publishes first-ever self-driving safety report.

1. Insights into the new computing model
DEEP LEARNING TOP 5
October 26, 2018

2. DEEP LEARNING IS THE FASTEST-GROWING
FIELD IN ARTIFICIAL INTELLIGENCE (AI)

3. AS AI TECHNOLOGIES CONTINUE TO IMPROVE, MORE
COMPANIES ADOPT DEEP LEARNING TO ACCELERATE
THEIR BUSINESSES…

4. TOP 5 DEEP LEARNING STORIES
1. NVIDIA and Carnegie Mellon partnership will create AI technologies to help during disasters.
2. NVIDIA, Scripps Research partner to advance AI for disease prediction.
3. How GPUs will help your deep learning platform.
4. MIT research project showcases how AI and humans can work together creatively.
5. NVIDIA publishes its first self-driving safety report.

5. NVIDIA AND CARNEGIE MELLON PARTNERSHIP WILL CREATE
AI TECHNOLOGIES TO HELP DURING DISASTERS
On Tuesday, Oct. 23. at the GPU Technology
Conference in Washington D.C. NVIDIA Vice
President of Accelerated Computing Ian Buck
announced a partnership between NVIDIA and
Carnegie Mellon University to create AI technologies
that can help during disasters.
“We’re now in the age of AI, where every industry will be
enabled and powered by AI,” Buck told an audience of
more than 2,000 developers, entrepreneurs, and federal
employees.
1
Source: https://blogs.nvidia.com/blog/2018/10/23/gtc-dc-ai-ian-buck/
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6. NVIDIA, SCRIPPS RESEARCH PARTNER TO ADVANCE AI FOR
DISEASE PREDICTION
NVIDIA and the Scripps Research Translational
Institute announced that they will be
partnering to advance the use of artificial
intelligence for early disease prediction and
prevention.
“Medical imaging is a powerful diagnostic tool.
Think about the prevention of disease or the
prediction of risk of disease in the first place.”
2
Source: https://www.zdnet.com/article/nvidia-scripps-research-partner-to-advance-ai-for-disease-prediction/#ftag=RSSbaffb68
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7. WHY GPUS WILL HELP YOUR DEEP LEARNING PLATFORM
Understand how deep learning can transform your
platform with the adoption of GPUs to capture a
greater variety of data and mine bigger data for
your company. SAS and NVIDIA have teamed up to
work together to help optimize SAS deep learning
scalability.
“Early access to hardware and libraries and having
access to NVIDIA engineers and developers has been a
huge advantage. We get the benefit of their insight and
experience.”
3
Source: https://blogs.sas.com/content/subconsciousmusings/2018/10/16/why-you-need-gpus-for-your-deep-learning-platform/?linkId=100000003777153
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8. MIT RESEARCH PROJECT SHOWCASES HOW AI AND HUMANS
CAN WORK TOGETHER CREATIVELY.
The MIT Media Lab gathered a group of
researchers to oversee a variety of creative
AI-human collaborations to see if AI can
inspire humans to create things they never
would’ve come up. Using AI to combine odd
ingredients on a pizza that taste great
together can bring fun to the AI world.
“We don’t want to just take what AI created and
bring it to life. We want to use our own knowledge
and bring our own contributions into reality. AI is
something you shouldn’t be afraid of. It’s just an
algorithm you can collaborate with and be inspired
by.”
4
Source: https://blogs.nvidia.com/blog/2018/10/22/mit-ai-human-collaborations/
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9. INTEGRATING AI INTO CUSTOMER FACING APPLICATIONS
NVIDIA published its Self-Driving Safety Report
presenting the development process and how the
company harnesses graphic processing units (GPUs) to
create self-driving systems.
“…NVIDIA makes safety our first priority. And we have
integrated it into every step of the development process.
NVIDIA continues to work with the wide and diverse
ecosystem as well as regulators to share knowledge and
formulate standards for this budding technology.”
5
Source: https://www.autonomousvehicletech.com/articles/1217-nvidia-publishes-its-self-driving-safety-report?v=preview
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