Self-taught artificial intelligence beats doctors at predicting heart attacks

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Doctors have lots of tools for predicting a patient’s health. But—as even they will tell you—they’re no match for the complexity of the human body. Heart attacks in particular are hard to anticipate. Now, scientists have shown that computers capable of teaching themselves can perform even better than standard medical guidelines, significantly increasing prediction rates. If implemented, the new method could save thousands or even millions of lives a year.

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The most futuristic predictions that came true in 2017

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The trouble with the future is that it never seems to arrive. That’s why we call it the future. We consequently have this bad habit of taking the present, and all the wondrous and horrific things it has to offer, for granted. As a reminder that we’re actually living in the future of a not-so-distant past, we present to you a list of the most futuristic things that happened in 2017.

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Stephen Hawking’s incredible predictions in 2017

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Stephen Hawking is known for his groundbreaking achievements in science, but many do not realize that the physicist is also recognized for making predictions about the future of humanity and Earth. This year the Oxford professor made some of the most unusual predictions to date, some of which may put a slight damper on your New Year’s festivities.

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An inside look at the world’s first nation with a minister for artificial intelligence

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From robots that can flawlessly perform backflips to electric cars that can go over 950 km (600 miles) on a single charge, it is becoming increasingly apparent that the future is far closer than we may have previously thought. If the missteps of the industrial revolution are any indicator, we need to start planning for that future today.

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Google’s artificial intelligence built an AI that outperforms any made by humans

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Google’s AutoML project, designed to make AI build other AIs, has now developed a computer vision system that vastly outperforms state-of-the-art-models. The project could improve how autonomous vehicles and next-generation AI robots “see.”

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AI adoption is limited by incurred risk, not potential benefit

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It’s tempting to think that adoption of AI is limited by the technology itself. Headlines declaring the rise of robot doctors and approaching technological singularity, contrasted with humorous memes of robots falling over, make us alternately fear and doubt AI’s capabilities. In practice, however, decades-old AI technologies could unlock significant value, although many companies still have yet to adopt them. This is because adoption of AI is determined by both trust and risk. Thinking about AI adoption in this way enables us to more accurately anticipate opportunities for AI startups.

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