Experts were asked: “What advances in AI do you predict will happen in 2017?”

1. - 2016 proved to be a major year for AI
- 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
- In 2017, AI will even more rapidly
revolutionize the way we work, live, and play
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AI Predictions 2017
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AI Predictions 2017
Experts were asked: “What advances in AI do
you predict will happen in 2017?”
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3. “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
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4. “5% of all new enterprise apps will have some
form of AI in 2017 - and 50% by 2021.”
Patrick Moorhead Founder, President and Principal Analyst -
Moor Insights and Strategy
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Powerful partnerships
are already in place to
accelerate AI in the
enterprise.
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5. “In 2017, intelligence
will surpass 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,
Accelerated Computing
NVIDIA
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6. “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.”
Matthew Zeiler Founder and CEO - Clarifai
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7. “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 2017 and
beyond.”
MIT Computer Science and
Artificial Intelligence
Laboratory (CSAIL)
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8. Eric Horvitz Technical Fellow and Director - Microsoft Research
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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. Continued …
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9. ont
Eric Horvitz
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Continued …
“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 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
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10. “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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