Top 5 Deep Learning Stories of this week

1. 1
September 30th, 2016

2. 2
Deep Learning is the
fastest-growing field in
artificial intelligence (AI).

3. 3
As quoted by top leaders in
various industries …

4. 4
“I think five years from now there will be a
number of S&P 500 CEOs that will wish
they’d started thinking earlier about their
AI strategy.”
-Andrew Ng
Chief Scientist at Baidu Research
Source: Fortune Article 2016
Such as Artificial Intelligence …

5. 5
“AI is poised to transform
business in ways we’ve not seen
since the impact of computer
technology in the late 20th century
… Our research demonstrates that
as AI matures, it can propel
economic growth and potentially
serve as a powerful remedy for
stagnant productivity and labor
shortages of recent decades.”
-Paul Daugherty
CTO at Accenture
Source: Accenture Press Release 2016
Consulting …

6. 6
“AI is everywhere; touching
our lives, fueling all industries,
and demanding a new class of
Cloud.”
- Ian Buck
VP of Accelerated Computing at NVIDIA
Source: Microsoft Ignite Keynote
And Technology …

7. 7
Here are the “Top Five” stories
highlighting how Deep Learning
and AI are accelerating innovation
this week…

8. 8
Deep Learning is Suddenly Changing Your Life
READ MORE
1
“This is deep learning’s Cambrian explosion,”
says Frank Chen, a partner at the Andreessen
Horowitz venture capital firm, alluding to the
geological era when most higher animal species
suddenly burst onto the scene. That dramatic
progress has sparked a burst of activity. Equity
funding of AI-focused startups reached an all-time
high last quarter of more than $1 billion,
according to the CB Insights research firm. Deep
learning, in that vision, could transform almost
any industry.
FORTUNE Article
Keep up with the latest Deep Learning applications HERE

9. 9
Five Top Database Analytic Solutions that are GPU-Accelerated
InfoWorld Article
READ MORE
2
When you absolutely, positively need to crunch
numbers as quickly as possible, you turn to a GPU.
Small wonder that most math-intensive applications,
including some machine learning frameworks, draw
on GPUs to parallelize and accelerate their
calculations. GPUs are adept at whipping through
calculations at scale, and databases often have
exactly those kinds of demands -- for instance,
when performing complex joins or row-by-row math.
Here are five offerings, three commercial and two
open source, that offer database solutions with GPU
acceleration as part of the package.
Explore HERE for a more comprehensive evaluation between GPUs and
CPUs

10. 10
READ MORE
Baidu Research Announces New Benchmark for Deep Learning
InsideHPC Article
3
Deep learning developers and researchers want to
train neural networks as fast as possible. Right now
we are limited by computing performance,” said Dr.
Diamos. “The first step in improving performance is
to measure it, so we created DeepBench and are
opening it up to the deep learning community. We
believe that tracking performance on different
hardware platforms will help processor designers
better optimize their hardware for deep learning
applications.
Learn HERE for more information on Baidu Research’s plans with
AI Computing

11. 11
Google Open-Sources Image Captioning Intelligence
READ MORE
4
Google released the latest version of their automatic
image captioning model that is more accurate, and
is much faster to train compared to the original
system. “The TensorFlow implementation released
today achieves the same level of accuracy with
significantly faster performance: time per training
step is just 0.7 seconds in TensorFlow compared to
3 seconds in DistBelief on an NVIDIA K20 GPU,
meaning that total training time is just 25 percent of
the time previously required,” Chris Shallue,
Software Engineer of the Google Brain Team wrote
in a blog post.
NVIDIA Developer Article
Explore HERE for more information on the GPU-Accelerated
Tensorflow

12. 12
Three Industries being Transformed By AI and Big Data
Historically, when new technologies become easier
to use, they transform industries. That’s what’s
happening with artificial intelligence and big data; as
the barriers to implementation disappear (cost,
computing power, etc.), more and more industries
will put the technologies into use, and more and
more startups will appear with new ideas of how to
disrupt the status quo with these technologies. By my
predictions, the AI revolution isn’t coming, it’s already
here, and we’ll see it first in a few key sectors.
READ MORE
5
Keep up with the latest news and applications of Deep Learning HERE
Forbes Article

13. 13
How can Deep Learning
Impact your Business?
www.nvidia.com/deep-learning