Read this week's top 5 news updates in deep learning and AI: Automakers look to virtual training to simulate billions of miles in driving, five Gordon Bell prize finalists leveraged Summit, the world's fastest supercomputer, Toronto celebrates NVIDIA's new Toronto AI lab and Canada's top researchers, scientists turn to simulated health data to train AI and preserve patient privacy, and two researchers leverage deep learning to create new levels for DOOM.

1. Insights into the new computing model
DEEP LEARNING TOP 5
September 28, 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 DEEP LEARNING STORIES
1. Automakers look to virtual training to simulate billions of miles in driving.
2. Five Gordon Bell prize finalists leveraged Summit, the world's fastest supercomputer.
3. Toronto celebrates NVIDIA's new Toronto AI lab and Canada's top researchers.
4. Scientists turn to simulated health data to train AI and preserve patient privacy.
5. Two researchers leverage deep learning to create new levels for DOOM.

5. AUTOMAKERS LOOK TO VIRTUAL TRAINING TO SIMULATE
BILLIONS OF MILES IN DRIVING
Volkswagen plans to begin validating future advanced-
driver assistance systems in a virtual environment. This
will help speed up the development process immensely, as
virtual environments can provide billions of miles of data
for validation.
“You need billions of miles of test drives to actually show
that (an AV) is safer than a human,” says NVIDIA’s Senior
Director of Automotive Danny Shapiro.
“Simulation now is the key. You can test whether they can
handle these different situations.”
1
Source: https://www.wardsauto.com/technology/vw-takes-adas-validation-virtual-world
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6. FIVE GORDON BELL PRIZE FINALISTS LEVERAGED SUMMIT, THE
WORLD'S FASTEST SUPERCOMPUTER
Movies have the Oscars. Television has the Emmys.
But for those harnessing compute power, what
counts is the Gordon Bell Prize. This year 5 of the 6
finalists did their work on the NVIDIA GPU-
accelerated Summit, the world’s fastest
supercomputer, and Sierra systems.
“Summit, an open system for researchers
worldwide, is designed to bring 200 petaflops of
high-precision computing performance and over 3
exaflops of AI, powered by 27,648 NVIDIA Volta
Tensor Core GPUs.”
2
Source: https://blogs.nvidia.com/blog/2018/09/17/nvidia-volta-tensor-core-gpus-gordon-bell-finalists/
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7. TORONTO CELEBRATES NVIDIA'S NEW TORONTO AI LAB AND
CANADA'S TOP RESEARCHERS
Last week in Toronto, NVIDIA CEO Jensen Huang praised
Canada’s AI talent, calling it one of the world’s most
important resources today. This growing resource was no
accident, says University of Toronto’s Vivek Goel.
“Supported by government funding, pioneers like U of T
University Professor Emeritus Geoffrey Hinton, now
known as the ‘godfather’ of deep learning, and his
students toiled away for decades on a then-unpopular
branch of AI that attempted to mimic how the human
brain learns... The end result has been a boom in
Toronto’s tech sector, which added more jobs than any
other North American city last year.”
3
Source: https://www.utoronto.ca/news/nvidia-ceo-jensen-huang-calls-canada-s-ai-talent-incredible-key-resource
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8. SCIENTISTS TURN TO SIMULATED HEALTH DATA TO TRAIN
AI AND PRESERVE PATIENT PRIVACY.
In order to get enough good data to train disease-
identifying AI, researchers from NVIDIA,
Massachusetts General Hospital & Brigham and
Women’s Hospital Center for Clinical Data Science
and the Mayo Clinic presented a new paper at
MICCAI 2018 showcasing how they used GANs to
create synthetic brain MRI images with tumors.
This research helps speed up AI training, as well as
protect patient privacy.
“The researchers used two open data sets of brain
MRIs to train the system…the resulting images are
good enough that using a mix of 10% real data and
the rest GAN-created was as good at training the
algorithm to spot tumors in new images as a data
set made up of all real images.”
4
Source: https://www.fastcompany.com/90240746/deepfakes-for-good-why-researchers-are-using-ai-for-synthetic-health-data
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9. TWO RESEARCHERS LEVERAGE DEEP LEARNING TO CREATE
NEW LEVELS FOR DOOM
Two researchers joined the AI Podcast to discuss how
they are using deep learning to generate new levels
for DOOM, one of the most iconic video game
franchises of all time.
“DOOM is foundational to 3D gaming. 3D gaming, of
course, is foundational to GPUs. GPUs, of course, are
foundational to deep learning.”
5
Source: https://blogs.nvidia.com/ai-podcast/
LISTEN HERE

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