Survey Says AI Rapidly Adopted By Enterprises

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62% of enterprises will use AI technologies by 2018

Artificial intelligence has replaced big data this year as the most talked about new set of technologies. As with big data five years ago—behind the hype, the confusion generated by an ill-defined term, and the record funding by VC—we are starting to see emerging investments and practical applications where it matters most—in enterprises.

A new report from Narrative Science, based on a survey of 235 business executives conducted by the National Business Research Institute (NBRI), sheds light on the state-of-AI in enterprises today and in the future: 38% of enterprises are already using AI technologies and 62% will use AI technologies by 2018. Keep in mind that “AI technologies” is a broad term that includes machine and deep learning, recommendation engines, predictive and prescriptive analytics, automated written reporting and communications, and voice recognition and response.

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Ridiculous Japanese robot hotel is serious business – really!

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“My name is Yoshiyuki Kawazoe. This is my hotel.” The University of Tokyo’s associate professor of architecture gestures behind himself to a flat, two-story building that doesn’t really look like a hotel. “Two-hundred people were involved in making this happen,” he says. “Experts in environmental design, engineering, architecture, robotics and construction … it’s their hotel.” The “Hen-na Hotel” will go down in tourist guides as the robot hotel, but there’s more being invested in here than just talking robots: The minds behind it hope the facility will change the world of low-cost hotels — and save the world. (Well, at least a little.)

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Uber parking lot patrol robot is cheaper than a security guard

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Uber drivers at the company’s inspection lot near Mission Bay in San Francisco will be met with a rather strange sight: a five-foot-tall, white, egg-shaped robot wheeling around the lot, on the look-out for trouble. This robot will be putting a few people out of a job soon.

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This company will help you become a cyborg

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Three years ago, Neil Harbisson, who is completely color-blind, had an antenna implanted in his skull that enables the artist and entrepreneur to sense color via audio vibrations. The long, metallic device, dubbed the ‘eyeborg,’ curves over the top of his head and hovers just above his eye line. It effectively made Harbisson into one of the world’s first cyborgs.

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Self-driving ‘cognitive’ vehicle uses IBM Watson IoT

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Creator of the world’s first 3D-printed cars, Local Motors, has developed the first self-driving “cognitive” vehicle, using IBM Watson Internet of Things (IoT) for Automotive. It’s set to debut later this year in Washington DC.

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Machines want your job

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Since the beginning of the “machine age”, humans have envisioned a time where machines became intelligent. In most science fiction, there is an apocalyptic tone in which the machines determine that humans are an inefficient use of resources and seek to destroy us. Whether 2001: A Space Odyssey, Terminator or iRobot, books and movies have convinced all of us that one day machines will rule the world.

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Robots learn complex tasks just by watching humans do them

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Industrial robots used to be big, unwieldy, and dangerous. Now new “human-safe” robots are commonplace on automotive lines, working right next to people. These robots are awkward coworkers; they coexist with us but do not meaningfully collaborate. They often need to be explicitly told how to be helpful or when to stay out of the way — things human teammates seem to learn intuitively.

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AI assistant can diagnose breast cancer with near perfect accuracy

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Physicians are pretty good at detecting breast cancer. However, they certainly aren’t perfect. Human pathologists can accurately identify the disease with 96 percent accuracy by reviewing breast biopsy samples, without even coming in contact with the patient. That’s an extremely impressive rate, given that cancer misdiagnosis can occur up to 28 percent of the time, according to healthcare journal BMJ Quality and Safety.

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AI produces realistic sounds that fool humans

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In order for robots to navigate the world, they will need to be able to make reasonable assumptions about their surroundings and what could happen during a sequence of events. One way that humans learn these things is through sound. For infants, some studies suggest that poking and prodding objects is actually how they develop an intuitive theory of physics. Could it be that we can get machines to learn the same way?

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