Artificial Intelligence: Predictions for 2017

ARTIFICIAL INTELLIGENCE
PREDICTIONS IN 2017

Thousands of AI startups emerged around
the world. Companies invested billions of
dollars in AI research and development.
Machines ingested trillions upon trillions
of pieces of data to train themselves to be
experts in fields such as healthcare,
financial services and customer service.
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By all accounts, 2016 proved
to be a major year for
artificial intelligence.

2
In 2017, AI will even more rapidly
revolutionize the way we work, live, and
play.
We asked AI experts to weigh in …

3
What advances in AI do you predict
will happen in 2017?

“From the hardware side of things, we
will start seeing embedded devices with
specialized architectures for running
neural nets. Those things will pop out in
self-driving cars, vacuum cleaners,
maintenance robots, smart cameras, etc.
Perhaps smart phones and tablets
eventually.”
Yann LeCunn Founding Director of NYU Center of Data Science
Director of AI Research, Facebook
4
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“5% of all new enterprise apps will have
some form of AI in 2017 and 50% by the
year of 2021.”
Patrick Moorhead Founder, President and Principal Analyst
Moor Insights and Strategy
5
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Powerful partnerships are
already in place to
accelerate AI in the
enterprise. Learn more

“In 2017, intelligence will
trump speed. Over the
last several decades,
nations have competed
on speed, intent to build
the world’s fastest
supercomputer. In 2017,
the race will shift.
Nations of the world will
compete on who has the
smartest supercomputer,
not solely the fastest.”
Jim McHugh
Vice President and General Manager
NVIDIA
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Ian Buck
“In 2017, there will be a
chatbot that passes the
Turing test, exhibiting
responses so human-like
that an average person
wouldn’t be able to tell if
it’s human or machine.”
Vice President,
AcceleratedComputing
NVIDIA

“AI will become a standard feature in applications, not a novelty. It
will also truly get pushed down to the consumer level and be
front-and-center, not something that is just packaged under the
hood of products, which will allow people to better understand AI
and its benefits, hopefully reducing some of the fear you see in
movies.
We’ll also see lots of personalization of AI for individuals to learn
how they understand the world – an area where independent AI
startups have particular potential to rival the big companies. And
although obvious, it’s worth mentioning that as self-driving cars
and robotics applications continue to be a hotbed for innovation,
we’ll see significant progress in these areas in 2017.
Matthew Zeiler Founder and CEO
Clarifai
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“There will be almost a
complete theoretical
understanding of when and
why deep networks work so
well.”
Dr. Adam Coates
Director, Silicon
Valley AI Lab
Baidu
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Tomaso Poggio
“Deep Learning will keep
taking AI systems to new
levels of performance as
parallel processing power
increases. We’ll be able
to crunch more data with
bigger neural networks
that are coming in the
New Year.”
MIT Computer Science and
Artificial Intelligence
Laboratory
More Information

Eric Horvitz Technical Fellow and Director
Microsoft Research, Redmond Lab
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“In the coming year, we will see advances that are used to endow
systems with new human-centered qualities, including more natural,
fluid conversation--that can address several topics or needs in one
ongoing interaction, and deeper understanding of human values and
intentions, such as recognizing the commitments we make to others in
our email and text messaging.
Research advances on human-aware AI will focus the power of machine
learning on human cognition itself, giving systems new abilities to
understand human attention, memory, and decision making. Advances in
this realm will lead to systems that augment human cognition, such as
systems that understand when to remind people about things they will
forget and how to help them to make better decisions. Continued …

ont
Eric Horvitz
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Continued …
“On the theoretical front, we will see advances aimed at providing
systems with the ability to learn about the physical world via engaging
in large numbers of trials within rich environments—both simulated
and real. Such methods will boost the capabilities of AI systems to
interact with people and objects in a safe and effective manner. While
these advances will remain in the laboratory over the short term, the
results will lead to acceleration in the fielding of novel robotics
applications in the open world, in such realms as transportation,
healthcare, and manufacturing.”
Technical Fellow and Director
Microsoft Research, Redmond Lab

“2017 will be the first year in which AI-generated art
will achieve commercial success. An artist will use
an AI-created element, like a song melody, in a piece
of work which achieves mainstream notoriety.”
Bryan Catanzaro Vice President, Applied Deep Learning Research
NVIDIA
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Hear more from Bryan on Where is
Deep Learning Going Next? Listen
now to the AI Podcast Learn more

Explore What’s New in AI and Deep
Learning
12
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Artificial Intelligence: Predictions for 2017

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