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Category: robotics/AI

In Brief:

  • Even though AI systems creating AI systems seems like the recipe for a Sci-Fi nightmare, experts agree that it could create a future with a less expensive and more efficient workforce
  • The benefits of an AI-powered future might be outweighed by the jobs that the technology makes obsolete

Imagine the conflicted feelings of the machine learning expert who is creating artificial intelligence (AI) that they know will one day, possibly very soon, be able to create better AI than them. It’s the new age’s way of holding on to the time-honored tradition of having to train your own replacement. Machine learning experts are currently being paid a premium wage due to their limited numbers and the high demand for their valuable skills. However, with the dawn of software that is “learning to learn,” those days may be numbered.

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In Brief The success of this work will help healthcare professionals diagnose more accurately and efficiently, and it will allow for more diagnostic care in areas with limited healthcare services and providers.

In early August, IBM announced that it will acquire Merge Healthcare Inc., a company that sells systems that help medical professionals access and store medical images. This move is a critical step in IBM’s plan to put AI to work medically by training its Watson software to identify maladies like heart disease and cancer.

Merge is valuable to IBM because it owns 30 billion images, including computerized tomography, X-rays, and magnetic-resonance-imaging scans. The company can use these images in its deep learning training program. IBM is hoping that the same kind of software that lets Flickr recognize your face or a dog in your photos can help Watson identify symptoms of diseases.

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Daniela Rus loves Singapore. As the MIT professor sits down in her Frank Gehry-designed office in Cambridge, Massachusetts, to talk about her research conducted in Singapore, her face starts to relax in a big smile.

Her story with Singapore started in the summer of 2010, when she made her first visit to one of the most futuristic and forward-looking cities in the world. “It was love at first sight,” says the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science and the director of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL). That summer, she came to Singapore to join the Singapore-MIT Alliance for Research and Technology (SMART) as the first principal investigator in residence for the Future of Urban Mobility Research Program.

“In 2010, nobody was talking about autonomous driving. We were pioneers in developing and deploying the first mobility on demand for people with self-driving golf buggies,” says Rus. “And look where we stand today! Every single car maker is investing millions of dollars to advance autonomous driving. Singapore did not hesitate to provide us, at an early stage, with all the financial, logistical, and transportation resources to facilitate our work.”

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Computer boffins Juan Echeverria and Shi Zhou at University College London have chanced across a dormant Twitter botnet made up of more than 350,000 accounts with a fondness for quoting Star Wars novels.

Twitter bots have been accused of warping the tone of the 2016 election. They also can be used for entertainment, marketing, spamming, manipulating Twitter’s trending topics list and public opinion, trolling, fake followers, malware distribution, and data set pollution, among other things.

In a recently published research paper, the two computer scientists recount how a random sampling of 1 per cent of English-speaking Twitter accounts – about 6 million accounts – led to their discovery.

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Over the past half year, bots have been a widely discussed topic. Experts and the media heavily discussed all the possible benefits, the future, and the value bots could create for businesses and consumers. Arguably, the tipping point was Facebook’s F8 conference in April. Since then, many developers and consumers have massively experimented with bots and tested their limits to find the most suitable use cases for bots.

During this trend, the U.S. market has proven to be highly interested in bots. Several published surveys are showing strong U.S. bot companies, as you can see in VentureBeat’s Bots Landscape. But Europe is not far behind.

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In Brief:

  • Predictions from the co-chair of the World Economic Forum’s Future Council, Melanie Walker, say we’ll soon enter a post-hospital world due to advances in personalized medicine, health monitoring, and nanotechnology.
  • New and evolving technologies in medical science convince Walker we’ll live in a society not dependent on hospitals by 2030.

As the world of medicine is increasingly changed by biology, technology, communications, genetics, and robotics, predicting the outlook of the next few decades of medicine becomes harder. But that is exactly what Melanie Walker of the World Economic Forum does, and she predicts a bright new future for healthcare.

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