Read updates highlighting what’s hot in high performance computing, with this week's focused on the convergence of HPC and AI.

1. HPC TOP 5 STORIES
Weekly Insights into the World of
High Performance Computing

2. HPC AND AI HAVE PAVED THE WAY FOR
GROUNDBREAKING DISCOVERIES IN SCIENCE,
MEDICINE, AND OTHER FIELDS…

3. PROVING THAT AI IS THE FUTURE OF
SUPERCOMPUTING…

4. HERE ARE THE “TOP FIVE’ STORIES
HIGHLIGHTING WHAT’S HOT IN HPC AND AI
TOP 5

5. TOP 5
1. GTC to Feature 90 Sessions on HPC and Supercomputing
2. SUTD, NTU Join SMU in Deploying Supercomputer for AI Research
3. Deep Learning and AI Success Stories
4. AI Checks Your Head by Listening to What You Said
5. Artificial Intelligence Can Be Boring, Too

6. GTC TO FEATURE 90 SESSIONS ON HPC AND
SUPERCOMPUTING
Accelerated computing continues to gain
momentum. This year the GPU Technology
Conference will feature 90 sessions on HPC and
Supercomputing. The event takes place May 8-
11 in San Jose, California.
The HPC and Supercomputing Track Sessions
will focus on how computational and data
science are used to solve traditional HPC
problems in healthcare, weather, astronomy,
and other domains. GPU developers can also
connect with innovators and researchers as
they share their groundbreaking work using
GPU computing.
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7. SUTD, NTU JOIN SMU IN DEPLOYING SUPERCOMPUTER
FOR AI RESEARCH
2
The NVIDIA DGX-1 deep learning supercomputer is winning
over universities in Singapore. Singapore University of
Technology and Design (SUTD) and Nanyang Technological
University (NTU) have deployed the powerful machine for
their research projects on artificial intelligence (AI).
SUTD will use the DGX-1 at the SUTD Brain Lab to further
research into machine reasoning and distributed learning.
Under a memorandum of understanding signed earlier this
month, NVIDIA and SUTD will also set up the NVIDIA-SUTD
AI Lab to leverage the power of GPU-accelerated neural
networks for researching new theories and algorithms for
AI. The agreement also provides for internship
opportunities to selected students of the lab.
ARTICLE

8. DEEP LEARNING AND AI SUCCESS STORIES
3
The insideBIGDATA Guide to Deep Learning & Artificial
Intelligence is a useful new resource directed toward
enterprise thought leaders who wish to gain strategic insights
into this exciting area of technology. In this guide, we take a
high-level view of AI and deep learning in terms of how it’s
being used and what technological advances have made it
possible. We also explain the difference between AI, machine
learning and deep learning, and examine the intersection of AI
and HPC. We present the results of a recent insideBIGDATA
survey that reflects how well these new technologies are being
received. Finally, we take a look at a number of high-profile
use case examples showing the effective use of AI in a variety
of problem domains. The complete insideBIGDATA Guide to
Deep Learning & Artificial Intelligence is available for
download from the insideBIGDATA White Paper Library.
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9. AI CHECKS YOUR HEAD BY LISTENING
TO WHAT YOU SAID
4
Whether caused by a blow to the head during a
football game or an accident, concussions are
particularly hard to identify.
A Utah-based startup is easing that process
using AI and the patient’s voice to detect
telltale shifts in vocal patterns — shifts human
ears can’t pick up — to help doctors make the
right call.
The company, Canary Speech, is building voice
tests that use GPU-accelerated deep learning
to pick up the subtle voice tremors, slower
speech and gaps between words that may
reveal brain injuries, or warn of diseases such
as Parkinson’s or Alzheimer’s.
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10. ARTIFICIAL INTELLIGENCE CAN BE BORING, TOO
5
What, precisely, is it useful for? How must
companies prepare for its implementation? Has
development gotten to the point that
organizations without expertise on staff can
deploy AI themselves or is it necessary to bring in
outside specialists to customize, install and
operate the technology?
Will Ramey, the director of Developer Marketing
for NVIDIA, wrote that some big companies have
been fast and others slow to adopt AI. Size seems
to be no determinant; small companies and
startups are sometimes ahead in AI development
and deployment. “Perhaps a more telling
predictor of whether a company is likely to use AI
is its industry affiliation, as we’ve noticed some
industries are quicker to adopt than others,”
Ramey wrote in response to emailed questions
from IT Business Edge.
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11. HOW CAN HPC IMPACT YOUR BUSINESS?
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