Read this week's top 5 news updates in deep learning and AI: Microsoft Azure now supports NVIDIA GPU Cloud for AI/HPC workloads, Pinterest uses AI to enhance its recommendations system, Johns Hopkins researchers use deep learning to combat pancreatic cancer, MIT researchers train neural networks with music videos to separate sounds from each other, and AI bots are now designing chairs (and they're surprisingly good).

1. Insights into the new computing model
DEEP LEARNING TOP 5
August 31, 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
1. Microsoft Azure now supports NVIDIA GPU Cloud for AI, HPC workloads
2. Pinterest uses AI to enhance its recommendations system
3. Johns Hopkins researchers use deep learning to combat pancreatic cancer
4. MIT researchers are training neural networks on videos to separate sounds from each other
5. AI bots are now designing chairs – and they’re surprisingly good

5. MICROSOFT AZURE NOW SUPPORTS NVIDIA GPU CLOUD FOR
AI, HPC WORKLOADS
Microsoft has added a new level of support for NVIDIA GPU
projects to Azure, which may benefit those running deep-
learning and other high performance computing (HPC)
workloads. The pair are touting availability of pre-
configured containers with GPU-accelerated software as
helping data scientists, developers and researchers
circumvent a number of integration and testing steps
before running their HPC tasks.
1
Source: https://www.zdnet.com/article/microsoft-azure-now-supports-nvidia-gpu-cloud-for-ai-hpc-workloads/
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6. PINTEREST USES AI TO ENHANCE ITS RECOMMENDATIONS SYSTEM
Developers from Pinterest, along with collaborators
from Stanford University, recently announced
PinSage, an advanced recommendation deep
learning-based framework used for ad and shopping
recommendations within the social network.
“As the number of people using Pinterest grows
beyond 200M+ MAU, and the number of objects
saved has crossed 100B, we must continuously build
technology to not only keep up but make
recommendations smarter,” Ruining He, a Pinterest
engineer stated in a blog post.
2
Source: https://news.developer.nvidia.com/pinterest-uses-ai-to-enhance-its-recommendations-system/
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7. JOHNS HOPKINS RESEARCHERS USE DEEP LEARNING TO
COMBAT PANCREATIC CANCER
Only 7 percent of patients live five years after diagnosis
of pancreatic cancer, the lowest rate for any cancer,
according to the American Cancer Society. Elliot K.
Fishman, MD, a researcher and radiologist at Johns
Hopkins, is on the forefront of trying to change this
statistic, and he's using artificial intelligence to do it.
Early detection is key to treatment, and with AI-enabled
detection methods nearly a third of pancreatic cancer
cases could be found four to 12 months sooner, they say.
3
Source: https://www.healthcareitnews.com/news/johns-hopkins-researchers-use-deep-learning-combat-pancreatic-cancer
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8. MIT RESEARCHERS TRAIN NEURAL NETWORKS ON MUSIC
VIDEOS TO SEPARATE SOUNDS FROM EACH OTHER
MIT researchers are training neural networks using
music videos to better pinpoint sound sources. The
team’s deep learning system “learns directly from a lot
of unlabeled YouTube videos, and it gets to know which
objects make what kinds of sounds,” said Hang Zhao, an
MIT researcher and former NVIDIA Research intern.
It’s work that Zhao describes as groundbreaking, and it
has wide-ranging applications in speech, audiology,
music and robotics.
4
Source: https://blogs.nvidia.com/blog/2018/08/28/music-youtube-cocktail-party-problem-ai-artificial-intelligence-deep-learning/
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9. THESE CHAIRS WERE DESIGNED BY AN AI BOT – AND
THEY’RE SURPRISINGLY GOOD
Designers Philipp Schmitt and Steffen Weiss set out to see if
a set of neural networks could measure up to the creative
mystique of a famous designer and create a modern “design
classic.”
It’s an exercise that provokes many questions on what we
value and define as “good design,” that very human blend
of innovation, function, and artistry. Could a bot produce
an object as symbolically rich as a chair, and with the
aesthetic proficiency of an Eames or Breuer design? It’s
2018, so we don’t have to wonder.
5
Source: https://www.fastcompany.com/90228357/these-chairs-were-designed-by-an-ai-bot-and-theyre-surprisingly-good
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