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Stephen Hawking believes Technology could end Poverty and Disease, says Artificial Intelligence could be the Worst or Best things for Humanity

Hawking said everyone has a role to play in making sure that this generation and the next are fully engaged with the study of science at an early level to create “a better world for the whole human race.”

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Stephen Hawking
Cosmologist Stephen Hawking delivers a video message during the inauguration of Web Summit, Europe's biggest tech conference, in Lisbon, Portugal, Nov. 6, 2017. (VOA)

Lisbon, November 7, 2017 : Technology can hopefully reverse some of the harm caused to the planet by industrialization and help end disease and poverty, but artificial intelligence (AI) needs to be controlled, physicist Stephen Hawking said on Monday.

Hawking, a British cosmologist who was diagnosed with motor neuron disease aged 21, said technology could transform every aspect of life but cautioned that artificial intelligence poses new challenges.

He said artificial intelligence and robots are already threatening millions of jobs — but this new revolution could be used to help society and for the good of the world such as alleviating poverty and disease.

“The rise of AI could be the worst or the best thing that has happened for humanity,” Stephen Hawking said via telepresence at opening night of the 2017 Web Summit in Lisbon that is attended by about 60,000 people.

“We simply need to be aware of the dangers, identify them, employ the best possible practice and management and prepare for its consequences well in advance.”

Hawking’s comments come during an escalating debate about the pro and cons of artificial intelligence, a term used to describe machines with a computer code that learns as it goes.

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Silicon Valley entrepreneur Elon Musk, who is chief executive of electric car maker Tesla Inc and rocket company SpaceX, has warned that AI is a threat to humankind’s existence.

But Microsoft co-founder Bill Gates, in a rare interview recently, told the WSJ Magazine that there was nothing to panic about.

Stephen Hawking said everyone has a role to play in making sure that this generation and the next are fully engaged with the study of science at an early level to create “a better world for the whole human race.”

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“We need to take learning beyond a theoretical discussion of how AI should be, and take action to make sure we plan for how it can be,” said Stephen Hawking, who communicates via a cheek muscle linked to a sensor and computerized voice system.

“You all have the potential to push the boundaries of what is accepted, or expected, and to think big. We stand on the threshold of a brave new world. It is an exciting — if precarious — place to be and you are the pioneers,” he said. (VOA)

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Researchers Develop Artificial Intelligence Tool in Chest X-Rays to Predict Long Term Mortality

Each image was paired with a key piece of data: Did the person die over a 12-year period?

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artificial intelligence
The goal was for CXR-risk to learn the features or combinations of features on a chest X-ray image that best predict health and mortality. Pixabay

Researchers have developed an Artificial Intelligence (AI)-powered tool that can harvest information in chest X-rays to predict long-term mortality.

The findings of this study, published in the journal JAMA Network Open, could help to identify patients most likely to benefit from screening and preventive medicine for heart disease, lung cancer and other conditions.

“This is a new way to extract prognostic information from everyday diagnostic tests,” said one of the researchers, Michael Lu, from Massachusetts General Hospital (MGH) of Harvard Medical School. “It’s information that’s already there that we’re not using, that could improve people’s health,” Lu said. Lu and his colleagues developed a convolutional neural network – an AI tool for analysing visual information – called CXR-risk.

artificial Intelligence
Next, Lu and colleagues tested CXR-risk using chest X-rays for 16,000 patients from two earlier clinical trials. Pixabay

It was trained by having the network analyse more than 85,000 chest X-rays from 42,000 participants who took part in an earlier clinical trial. Each image was paired with a key piece of data: Did the person die over a 12-year period? The goal was for CXR-risk to learn the features or combinations of features on a chest X-ray image that best predict health and mortality.

ALSO READ: Why Virtual Reality Headsets Failed to Create Craze Among Masses?

Next, Lu and colleagues tested CXR-risk using chest X-rays for 16,000 patients from two earlier clinical trials. They found that 53 per cent of people the neural network identified as “very high risk” died over 12 years, compared to fewer than four per cent of those that CXR-risk labeled as “very low risk.”

The study found that CXR-risk provided information that predicts long-term mortality, independent of radiologists’ readings of the x-rays and other factors, such as age and smoking status. Lu believes this new tool will be even more accurate when combined with other risk factors, such as genetics and smoking status. (IANS)