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There’s always a lot of talk about how AI will steal all our jobs and how machines will bring about the collapse of employment as we know it. It’s certainly hard to blame people for worrying with all the negative press around the issue.

But the reality is that AI is completely dependent on humans, and it appears as if it will stay that way for the foreseeable future. In fact, as AI grows as an industry and machine learning becomes more widely used, this will actually create a whole host of new jobs for people.

Let’s take a look at some of the roles humans currently play in the AI industry and the kind of jobs that will continue to be important in the future.

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The technical skills of programmer John Carmack helped create the 3D world of Doom, the first-person shooter that took over the world 25 years ago. But it was level designers like John Romero and American McGee that made the game fun to play. Level designers that, today, might find their jobs threatened by the ever-growing capabilities of artificial intelligence.

One of the many reasons Doom became so incredibly popular was that id Software made tools available that let anyone create their own levels for the game, resulting in thousands of free ways to add to its replay value. First-person 3D games and their level design have advanced by leaps and bounds since the original Doom’s release, but the sheer volume of user-created content made it the ideal game for training an AI to create its own levels.

Researchers at the Politecnico di Milano university in Italy created a generative adversarial network for the task, which essentially uses two artificially intelligent algorithms working against each other to optimise the overall results. One algorithm was fed thousands of Doom levels which it analysed for criteria like overall size, enemy placement, and the number of rooms. It then used what it learned to generate its own original Doom levels.

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Without saying anything this device will let you talk to your computer — https://www.weforum.org/…/computer-system-transcribes-words…


MIT researchers have developed a computer interface that can transcribe words that the user concentrates on verbalizing but does not actually speak aloud.

The system consists of a wearable device and an associated computing system. Electrodes in the device pick up neuromuscular signals in the jaw and face that are triggered by internal verbalizations — saying words “in your head” — but are undetectable to the human eye. The signals are fed to a machine-learning system that has been trained to correlate particular signals with particular words.

The device also includes a pair of bone-conduction headphones, which transmit vibrations through the bones of the face to the inner ear. Because they don’t obstruct the ear canal, the headphones enable the system to convey information to the user without interrupting conversation or otherwise interfering with the user’s auditory experience.

Government officials, business leaders and academics attending China’s second World Intelligence Congress, abbreviated WIC 2018, envisioned people’s liberation from labor with the help of artificial intelligence.

With the theme “The Age of Intelligence: New Progress, New Trends, New Efforts,” the three-day event began in north China’s Tianjin municipality on Wednesday.

Lin Nianxiu, deputy director of China’s National Development and Reform Commission (NDRC), said at the opening of the congress that the aspirations to make machines more intelligent and liberate human beings from as much labor as possible have been major impetuses driving worldwide technological advances and industrial innovation.

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Westworld’s first season was largely focused on the abuse of artificial life, given that the park hosts’ purpose almost exclusively revolved around sex, violence, and suffering. The freedom Dolores and her ilk were fighting for was simple consciousness—a right to their own memories and self-awareness. In just the first four episodes, Westworld’s second season has exploded that basic quest into all kinds of fascinating directions, but “The Riddle of the Sphinx” was the first to really grapple with one of the most obvious questions in AI, which is: Isn’t artificial intelligence the key to immortality?


Three Atlantic staffers discuss “The Riddle of the Sphinx,” the fourth episode of Season 2.

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The power of the cloud, artificial intelligence, and machine learning is making smart cities and data-based Location of Things navigation a reality. Join the Principal Product Manager for Microsoft Azure Maps and others and learn how advanced location technology will revolutionize everything from autonomous cars to connected cities. Don’t miss this VB Live event!

Register here for free.

Location data is the foundation of technology: It’s what binds a device and a user, a user and the environment they’re in. And as location data moves to the cloud and gets smarter, powered by artificial intelligence and machine learning, the number of potential applications for smart location data is exploding, says Chris Pendleton, Principal PM for Azure Maps. We’re on the threshold of creating a smarter society, built on the hundreds of millions of connected devices that together create The Location of Things.

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