ARTIFICIAL INTELLIGENCEPREDICTIONS 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.

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In 2017, AI will even more rapidly revolutionize the way we work, live, and play.

We asked AI experts to weigh in …

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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 ScienceDirector of AI Research, Facebook

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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 AnalystMoor Insights and Strategy

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“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 ManagerNVIDIA

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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 ComputingNVIDIA

“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 CEOClarifai

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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 LabBaidu

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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 LaboratoryMore Information

Eric Horvitz Technical Fellow and DirectorMicrosoft 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 …

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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 DirectorMicrosoft 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 CatanzaroVice President, Applied Deep Learning ResearchNVIDIA

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