Here’s when machines will take your job, as predicted by A.I. gurus

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An MIT study predicts when artificial intelligence will take over for humans in different occupations.

While technology develops at exponential speed, transforming how we go about our everyday tasks and extending our lives, it also offers much to worry about. In particular, many top minds think that automation will cost humans their employment, with up to 47% of all jobs gone in the next 25 years. And chances are, this number could be even higher and the massive job loss will come earlier.

So when will your job become obsolete? Researchers at the University of Oxford surveyed the world’s best artificial intelligence experts to find out when exactly machines will be better at humans in various occupations.

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A study on driverless car ethics offers a troubling look into our values

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To figure out how autonomous vehicles should respond during potentially fatal collisions, a group of scientists set out to learn what decisions human drivers would make.

The first time Azim Shariff met Iyad Rahwan—the first real time, after communicating with him by phone and e-mail—was in a driverless car. It was November, 2012, and Rahwan, a thirty-four-year-old professor of computing and information science, was researching artificial intelligence at the Masdar Institute of Science and Technology, a university in Abu Dhabi. He was eager to explore how concepts within psychology—including social networks and collective reasoning—might inform machine learning, but there were few psychologists working in the U.A.E. Shariff, a thirty-one-year-old with wild hair and expressive eyebrows, was teaching psychology at New York University’s campus in Abu Dhabi; he guesses that he was one of four research psychologists in the region at the time, an estimate that Rahwan told me “doesn’t sound like an exaggeration.” Rahwan cold-e-mailed Shariff and invited him to visit his research group.

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A neural network can learn to organize the world it sees into concepts—just like we do

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Generative adversarial networks are not just good for causing mischief. They can also show us how AI algorithms “think.”

GANs, or generative adversarial networks, are the social-media starlet of AI algorithms. They are responsible for creating the first AI painting ever sold at an art auction and for superimposing celebrity faces on the bodies of porn stars. They work by pitting two neural networks against each other to create realistic outputs based on what they are fed. Feed one lots of dog photos, and it can create completely new dogs; feed it lots of faces, and it can create new faces.

As good as they are at causing mischief, researchers from the MIT-IBM Watson AI Lab realized GANs are also a powerful tool: because they paint what they’re “thinking,” they could give humans insight into how neural networks learn and reason. This has been something the broader research community has sought for a long time—and it’s become more important with our increasing reliance on algorithms.

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Engineers can now reverse-engineer 3D models

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A system that uses a technique called constructive solid geometry (CSG) is allowing MIT researchers to deconstruct objects and turn them into 3D models, thereby allowing them to reverse-engineer complex things.

The system appeared in a paper entitled “InverseCSG: Automatic Conversion of 3D Models to CSG Trees” by Tao Du, Jeevana Priya Inala, Yewen Pu, Andrew Spielberg, Adriana Schulz, Daniela Rus, Armando Solar-Lezama, and Wojciech Matusik.

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Ingestible capsule can be controlled wirelessly

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Electronic pill can relay diagnostic information or release drugs in response to smartphone commands

Researchers at MIT, Draper, and Brigham and Women’s Hospital have designed an ingestible capsule that can be controlled using Bluetooth wireless technology. The capsule, which can be customized to deliver drugs, sense environmental conditions, or both, can reside in the stomach for at least a month, transmitting information and responding to instructions from a user’s smartphone.

The capsules, manufactured using 3-D-printing technology, could be deployed to deliver drugs to treat a variety of diseases, particularly in cases where drugs must be taken over a long period of time. They could also be designed to sense infections, allergic reactions, or other events, and then release a drug in response.

“Our system could provide closed-loop monitoring and treatment, whereby a signal can help guide the delivery of a drug or tuning the dose of a drug,” says Giovanni Traverso, a visiting scientist in MIT’s Department of Mechanical Engineering, where he will be joining the faculty in 2019.

These devices could also be used to communicate with other wearable and implantable medical devices, which could pool information to be communicated to the patient’s or doctor’s smartphone.

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Digital immortality: How your life’s data means a version of you could live forever

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Your family and friends will be able to interact with a digital “you” that doles out advice—even when you’re gone.

Hossein Rahnama knows a CEO of a major financial company who wants to live on after he’s dead, and Rahnama thinks he can help him do it.

Rahnama is creating a digital avatar for the CEO that they both hope could serve as a virtual “consultant” when the actual CEO is gone. Some future company executive deciding whether to accept an acquisition bid might pull out her cell phone, open a chat window, and pose the question to the late CEO. The digital avatar, created by an artificial-intelligence platform that analyzes personal data and correspondence, might detect that the CEO had a bad relationship with the acquiring company’s execs. “I’m not a fan of that company’s leadership,” the avatar might say, and the screen would go red to indicate disapproval.

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This new Lithium battery tech can simply suck up CO2 to power itself

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We need this right now!

Everybody knows the world’s got a serious carbon dioxide problem, but an ingenious and potentially cost-effective way of dealing with our surplus CO2 could provide the means of tomorrow’s battery technology.

For years scientists have looked at ways of capturing carbon and storing it underground or even potentially in the ocean. But a new system might offer a powerful advantage over these efforts.

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Machine-learning system tackles speech and object recognition, all at once

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MIT computer scientists have developed a system that learns to identify objects within an image, based on a spoken description of the image.

Model learns to pick out objects within an image, using spoken descriptions.

MIT computer scientists have developed a system that learns to identify objects within an image, based on a spoken description of the image. Given an image and an audio caption, the model will highlight in real-time the relevant regions of the image being described.

Unlike current speech-recognition technologies, the model doesn’t require manual transcriptions and annotations of the examples it’s trained on. Instead, it learns words directly from recorded speech clips and objects in raw images, and associates them with one another.

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MITdevelops water-to-air wireless Communication

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You can wirelessly communicate with people on the other side of the world in real time, but it’s still impossible for a submarine to talk to an airplane. They both use systems designed for their environment, and those systems aren’t compatible. At least, they weren’t until now. Researchers from MIT have developed a technology to link the underwater world with the open air.

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Cell-sized robots can sense their environment

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Made of electronic circuits coupled to minute particles, the devices could flow through intestines or pipelines to detect problems.

Researchers at MIT have created what may be the smallest robots yet that can sense their environment, store data, and even carry out computational tasks. These devices, which are about the size of a human egg cell, consist of tiny electronic circuits made of two-dimensional materials, piggybacking on minuscule particles called colloids.

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MIT researchers create an aerosol spray loaded with nanobots

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AEROSOLS FOR GOOD. You may have sworn off aerosol sprays in the ’90s when everyone was talking about the hole in the ozone layer, but a team of researchers from MIT has found a use for aerosols that could be good for both the environment and our health. This spray contains nanobots, tiny sensors with the potential to do everything, from detecting dangerous leaks in pipelines, to diagnosing health issues. They published their research in Nature Nanotechnology on Monday.

NANO-SCALE SENSORS. Each sensor in the aerosol spray contains two parts. The first is a colloid, an extremely tiny insoluble particle or molecule. Colloids are so small, in fact, they can remain suspended in a liquid or the air indefinitely — the force of particles colliding around them is stronger than the force of gravity attempting to pull them down.

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These anti-aging pills seem to be actually working

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Pills hailed as the first real “anti-aging” drugs inched a little closer to the market after a study found they cut the number of respiratory infections in the elderly by half.

The drugs: The pills act on an aging-related pathway called TORC1. Inhibiting this pathway “has extended life span in every species studies to date,” according to Joan Mannick, who led the study for drug giant Novartis. Those species include mice and worms.

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