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1
October 21st, 2016
2
Deep Learning is the
fastest-growing field in
artificial intelligence (AI).
3
Ranking #1 on Gartner’s Top 10
Strategic Technology Trends for 2017
1. AI and Advanced Machine Learning
2. Intelligent Apps
3. Intelligent Things
4. VR and AR
5. Digital Twin
6. Blockchain and Distributed Ledgers
7. Conversational Systems
8. MeshApp and Service Architecture
9. Digital Technology Platforms
10. Adaptive Security Architecture
4
“Applied AI and advanced machine
learning give rise to a spectrum of
intelligent implementations,
including physical devices as well as
apps and services These
implementations will be delivered as
a new class of obviously intelligent
apps as well as provide embedded
intelligence for a wide range of mesh
devices and existing software and
service solutions.”
-David Cearley
Vice President and Gartner
Fellow in Gartner Research
5
For More Information on Gartner’s Top 10 Strategic
Technology Trends for 2017
READ HERE
Gain an overview of the latest solutions, technologies,
and real-world use-cases from Deep Learning and
Accelerated Analytics with the NVIDIA DGX-1 in our
upcoming webinar with VP and GM of Deep Learning,
Jim McHugh.
REGISTER NOW
Changing the Landscape with Deep
Learning and Accelerated Analytics
6
Here are the “Top Five” stories
highlighting how Deep Learning
and AI are accelerating innovation
this week…
7
Gartner: AI To Become a Top Business Investment Priority
READ MORE
1
It's a technology that businesses will increasingly
trust in decision-making, Gartner analysts said
Monday at the research firm's annual
Symposium/ITxpo here. In the next three to five
years, Gartner predicts that 50 percent of all
analytical interactions will be delivered via artificial
intelligence, and many of the insights will be
gleaned through verbal interactions. People already
know and interact with A.I. systems through IBM's
Watson, IPSoft's Amelia, Apple's Siri, Microsoft's
Cortana and Google Assistant.
PCWorld Article
Keep up HERE with the latest Deep Learning and AI News
8
Microsoft Reach Human Parity in Conversational Speech Recognition
READ MORE
2
Microsoft has made a major breakthrough in
speech recognition, creating a technology that
recognizes the words in a conversation as well as a
person does. In a paper published Monday, a team
of researchers and engineers in Microsoft Artificial
Intelligence and Research reported a speech
recognition system that makes the same or fewer
errors than professional transcriptionists. The
researchers reported a word error rate (WER) of
5.9 percent, down from the 6.3 percent WER the
team reported just last month.
Microsoft Blog Article
Explore HERE on Microsoft’s other application with GPUs
9
What Deep Learning Can Do For Your Business
NVIDIA Blog Article
READ MORE
3
It’s easy to understand that for companies like Google,
Facebook, Amazon, Netflix and others, machine
learning is a powerful tool. But as you can see from
the above examples – beer, personal loans, oil wells,
basketball – most businesses these days are, too, or
will be soon. Most companies have jumped on that
bandwagon. CEOs and CTOs recognized there was
value in collecting all this data around their business
processes. Phase two was about finding more
sophisticated ways to query that data … Phase three,
which we’re entering now, brings to bear machine
learning techniques on the data.
Check out the other parts of the multi-part series explaining the
fundamentals of deep learning by Michael Copeland HERE
10
READ MORE
White House Push to Use AI For Cancer Research
Reuters Article
4
The $1 billion moonshot project was announced by
Obama during his State of the Union address in
January. Since then Biden, whose son Beau died last
year at age 46 from brain cancer, has announced
multiple investments and collaborations in support of
the project.The Cancer Moonshot initiative has also
spurred Defense Department to use artificial
intelligence to analyze its collection of tissue from
tumors to look for patterns.The U.S. Patent and
Trademark Office has launched a pilot program to cut in
half the time to review certain cancer therapy patent
applications from an average of about two years to less
than 12 months.
Read HERE on Washington’s largest AI Conference being hosted
by NVIDIA
11
OLCF Dives Into Deep Learning with DGX-1 Supercomputer
READ MORE
5
The OLCF’s recent purchase of an NVIDIA DGX-1, the
first supercomputer engineered specifically for deep
learning, should help lab staff and users take scientific
deep learning applications to the next level. Using
multiple GPUs, the DGX-1’s optimized hardware and
software make it easier for researchers to build and
refine their models. “This system not only simplifies the
development of deep learning algorithms but also cuts
down on the time needed to optimize and port code,
freeing up scientists to focus more on knowledge
discovery,” said OLCF data and visualization expert
Jamison Daniel.
ORNL Article
Check out our latest DGX-1 Delivery to NYU HERE
12
How can Deep Learning
Impact your Business?
www.nvidia.com/deep-learning

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10/21 Top 5 Deep Learning Stories

  • 2. 2 Deep Learning is the fastest-growing field in artificial intelligence (AI).
  • 3. 3 Ranking #1 on Gartner’s Top 10 Strategic Technology Trends for 2017 1. AI and Advanced Machine Learning 2. Intelligent Apps 3. Intelligent Things 4. VR and AR 5. Digital Twin 6. Blockchain and Distributed Ledgers 7. Conversational Systems 8. MeshApp and Service Architecture 9. Digital Technology Platforms 10. Adaptive Security Architecture
  • 4. 4 “Applied AI and advanced machine learning give rise to a spectrum of intelligent implementations, including physical devices as well as apps and services These implementations will be delivered as a new class of obviously intelligent apps as well as provide embedded intelligence for a wide range of mesh devices and existing software and service solutions.” -David Cearley Vice President and Gartner Fellow in Gartner Research
  • 5. 5 For More Information on Gartner’s Top 10 Strategic Technology Trends for 2017 READ HERE Gain an overview of the latest solutions, technologies, and real-world use-cases from Deep Learning and Accelerated Analytics with the NVIDIA DGX-1 in our upcoming webinar with VP and GM of Deep Learning, Jim McHugh. REGISTER NOW Changing the Landscape with Deep Learning and Accelerated Analytics
  • 6. 6 Here are the “Top Five” stories highlighting how Deep Learning and AI are accelerating innovation this week…
  • 7. 7 Gartner: AI To Become a Top Business Investment Priority READ MORE 1 It's a technology that businesses will increasingly trust in decision-making, Gartner analysts said Monday at the research firm's annual Symposium/ITxpo here. In the next three to five years, Gartner predicts that 50 percent of all analytical interactions will be delivered via artificial intelligence, and many of the insights will be gleaned through verbal interactions. People already know and interact with A.I. systems through IBM's Watson, IPSoft's Amelia, Apple's Siri, Microsoft's Cortana and Google Assistant. PCWorld Article Keep up HERE with the latest Deep Learning and AI News
  • 8. 8 Microsoft Reach Human Parity in Conversational Speech Recognition READ MORE 2 Microsoft has made a major breakthrough in speech recognition, creating a technology that recognizes the words in a conversation as well as a person does. In a paper published Monday, a team of researchers and engineers in Microsoft Artificial Intelligence and Research reported a speech recognition system that makes the same or fewer errors than professional transcriptionists. The researchers reported a word error rate (WER) of 5.9 percent, down from the 6.3 percent WER the team reported just last month. Microsoft Blog Article Explore HERE on Microsoft’s other application with GPUs
  • 9. 9 What Deep Learning Can Do For Your Business NVIDIA Blog Article READ MORE 3 It’s easy to understand that for companies like Google, Facebook, Amazon, Netflix and others, machine learning is a powerful tool. But as you can see from the above examples – beer, personal loans, oil wells, basketball – most businesses these days are, too, or will be soon. Most companies have jumped on that bandwagon. CEOs and CTOs recognized there was value in collecting all this data around their business processes. Phase two was about finding more sophisticated ways to query that data … Phase three, which we’re entering now, brings to bear machine learning techniques on the data. Check out the other parts of the multi-part series explaining the fundamentals of deep learning by Michael Copeland HERE
  • 10. 10 READ MORE White House Push to Use AI For Cancer Research Reuters Article 4 The $1 billion moonshot project was announced by Obama during his State of the Union address in January. Since then Biden, whose son Beau died last year at age 46 from brain cancer, has announced multiple investments and collaborations in support of the project.The Cancer Moonshot initiative has also spurred Defense Department to use artificial intelligence to analyze its collection of tissue from tumors to look for patterns.The U.S. Patent and Trademark Office has launched a pilot program to cut in half the time to review certain cancer therapy patent applications from an average of about two years to less than 12 months. Read HERE on Washington’s largest AI Conference being hosted by NVIDIA
  • 11. 11 OLCF Dives Into Deep Learning with DGX-1 Supercomputer READ MORE 5 The OLCF’s recent purchase of an NVIDIA DGX-1, the first supercomputer engineered specifically for deep learning, should help lab staff and users take scientific deep learning applications to the next level. Using multiple GPUs, the DGX-1’s optimized hardware and software make it easier for researchers to build and refine their models. “This system not only simplifies the development of deep learning algorithms but also cuts down on the time needed to optimize and port code, freeing up scientists to focus more on knowledge discovery,” said OLCF data and visualization expert Jamison Daniel. ORNL Article Check out our latest DGX-1 Delivery to NYU HERE
  • 12. 12 How can Deep Learning Impact your Business? www.nvidia.com/deep-learning