The document discusses how deep learning and GPU technology are accelerating innovations in healthcare such as reducing error rates for breast cancer diagnosis by 85% and providing test results for rare diseases in seconds instead of days. It also highlights several companies applying deep learning to analyze health photos on Facebook, accelerate drug discovery, predict solar panel adoption, and how NVIDIA is leading in deep learning through GPU computing platforms. The document promotes NVIDIA's deep learning technologies and their potential to impact businesses.

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September 23rd, 2016

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Deep Learning is the
fastest-growing field in
artificial intelligence (AI).

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As evidenced by advanced Deep
Learning technology and
Healthcare…

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“We are entering the
Radiological Era of biometric
quantification, where our
interpretations will be enhanced
by algorithms learned from the
diagnostic data of vast patient
populations. Without the
processing capabilities of
GPUs, this would not be
possible.“
- Dr. Keith J. Dreyer (Vice Chairman of Radiology at Mass
General, Associate professor of Radiology at Harvard
Medical School and Executive Director)

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“Without GPUs, I wouldn’t have
been able to get the performance
I needed, and I wouldn’t have
been able to develop such an
accurate algorithm … Parents
often have to wait a day or more
for a test result. This algorithm
can give results in seconds. “
- Synho Do (Assistant Professor at Harvard Medical School)

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“This is a small step that takes us
toward a more effective Healthcare
practice for all patients.”
- Mark Michaelski (Director of Mass General’s Data Science Center)

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Here are the “Top Five”
stories highlighting how AI and
Deep Learning are
accelerating innovation this
week…

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Deep Learning Drops Error Rate for Breast Cancer
READ MORE
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Keeping up with the massive flow of research
data on breast cancer is a challenge for scientists.
And the variety of methods used to analyze that
data make reliable predictions difficult to come by.
A team from Harvard Medical School (BIDMC)
tackled this issue using deep learning … The
team’s results were dramatic, dropping the human
error rate in diagnosis by 85% when aiding a
pathologist’s efforts with GPU-powered deep
learning analysis.
NVIDIA BLOG Article
Keep up with the latest Deep Learning applications HERE

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Facebook Using Deep Learning to Analyze your Health in Photos
Daily Mail News Article
READ MORE
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Within seconds of looking at a picture, the human
eye can identify and understand every object in it.
Facebook plans to bring that capability to every
picture you upload. The firm hopes its image
detection, segmentation and identification will one
day suggest products for consumers to purchase,
identify healthier foods for consumption and
provide health stats in real-time - just by analyzing
users’ photos. The entire effort is based on ‘deep
learning’ and in this project, Facebook puts images
through an assembly line using algorithms that
process different components of the image.
Learn about other Deep Learning applications in Photos and Healthcare
HERE

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READ MORE
BenevolentAI and DGX-1 Accelerating Therapeutic Treatments
PR Newswire Article
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BenevolentAI, a leading British artificial intelligence
company, announced it is the first European
company to - the DGX-1 developed by NVIDIA. The
acquisition of the DGX-1 will allow BenevolentAI to
accelerate its biomedical insights into new
therapeutics to treat serious diseases faster than
previously possible by enhancing BenevolentAI's
chemical modelling capabilities and enabling
deeper interrogation of chemical structural activity
relationships using the Company's own proprietary
AI algorithms.
Explore HERE for more information on the DGX-1

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Machine Learning is Changing the Solar Industry
READ MORE
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A startup from California is using GPUs and big data
to predict what homes are likely to buy solar panels.
PowerScout is using GPUs on the Amazon cloud
and cuDNN to train their deep learning models on a
mix of data from commercial databases and LIDAR
to detect solar panels from satellite images, and to
also detect the presence of trees near homes that
could cast shade onto roofs. The tools the startup
developed can also help estimate how much energy
could be harvested from a home’s rooftop without
needing to take measurements in person with a
decent degree of accuracy.
NVIDIA Developer Article
Learn HERE for more information about GPU Computing

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Why NVIDIA Is Leading Deep Learning
NVIDIA is a major innovator in the AI space, building
computing platforms focused on redefining product
development and business intelligence. As Senior
Director of Business Development for Deep Learning
and AI at NVIDIA, Kimberly Powell focuses on the AI
ecosystem … “Deep learning”, Kimberly says, “has led
to the latest AI revolution – the algorithms are data
driven and accessible with GPU computing. NVIDIA’s
GPU is available on all our computing platforms and
we are accelerating every deep learning framework”
READ MORE
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Discover more about NVIDIA”s leading role wiithin Deep Learning HERE
AI Business Article

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How can Deep Learning
Impact your Business?
www.nvidia.com/deep-learning