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By Irene Klotz

CAPE CANAVERAL, Fla. (Reuters) — The U.S. military’s experimental X-37B space plane landed on Sunday at NASA’s Kennedy Space Center in Florida, completing a classified mission that lasted nearly two years, the Air Force said.

The unmanned X-37B, which resembles a miniature space shuttle, touched down at 7:47 a.m. EDT (1147 GMT) on a runway formerly used for landings of the now-mothballed space shuttles, the Air Force said in an email.

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Without even realizing it, soldiers could soon be training robot sharpshooters to take their jobs.

Modern sensors can see farther than humans. Electronic circuits can shoot faster than nerves and muscles can pull a trigger. Humans still outperform armed robots in knowing what to shoot at — but new research funded in part by the Army may soon narrow that gap.

Researchers from DCS Corp and the Army Research Lab fed datasets of human brain waves into a neural network — a type of artificial intelligence — which learned to recognize when a human is making a targeting decision. They presented their paper on it at the annual Intelligent User Interface conference in Cyprus in March.

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British biomedical engineers have developed a new generation of intelligent prosthetic limbs that allows the wearer to reach for objects automatically, without thinking — just like a real hand.

The hand’s camera takes a picture of the object in front of it, assesses its shape and size, picks the most appropriate grasp, and triggers a series of movements in the hand — all within milliseconds.

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University of Nottingham researchers created an AI system that scanned routine medical data to predict which patients would have strokes or heart attacks within 10 years. The AI system beat the standard method of prediction, correctly making calls in 355 more cases than traditional means. Predicting cardiovascular events like strokes and heart attacks is a notoriously challenging task. In fact, the researchers note in their recent paper that around half of all strokes and heart attacks occur in patients who were never identified as being “at risk.”

The records included a decade of health outcomes, lab data, drug information, hospital records, and demographic information. The team identified the distinguishing characteristics of patients who experienced strokes and heart attacks using 75 percent of the records. They then tested their models against the standard guidelines using the remaining 25 percent of the records. The standard guidelines scored 0.728 out of 1.0, with the latter signifying 100 percent accuracy. The machine models scored between 0.745 to 0.764, with the neural network making 355 more accurate predictions than the standard guidelines, therefore earning the best score. Had those predictions been made in real time, the patients could have been provided with preventative care.

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Who says that cartoons are for kids?

Artificial intelligence (AI) kicks off the Microsoft Story Labs animated “Explanimators” series about big, important, cutting-edge areas of technology that remain mysterious (if not just plain confusing) to people who don’t have an engineering or computer science degree.

While artificial intelligence is increasingly all around us, helping people do more, save time and work smarter – let’s be honest – it’s tricky to wrap your head around how it works and where it’s headed.

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A robotic claw, one of several innovative tools developed at JPL for exploring icy, ocean worlds like Europa.

Credits: NASA/JPL-Caltech

Want to go ice fishing on Jupiter’s moon Europa? There’s no promising you’ll catch anything, but a new set of robotic prototypes could help.

Since 2015, NASA’s Jet Propulsion Laboratory in Pasadena, California, has been developing new technologies for use on future missions to ocean worlds. That includes a subsurface probe that could burrow through miles of ice, taking samples along the way; robotic arms that unfold to reach faraway objects; and a projectile launcher for even more distant samples.

Over the past five days, the TED2017 conference has explored the theme “The Future You.” This has spanned an incredible number of ideas on a huge array of topics. Below, a tour through some of the key themes that emerged — through the week and in the double-stuffed session of day 5.

All eyes on AI. How will artificial intelligence reshape our world? TED2017 brought many answers. The conference kicked off with a dance between a robot and human, followed by chess grandmaster Garry Kasparov’s call to add human purpose and passion to intelligent machines’ ability to calculate and parse. Then, in a session called “Our Robotic Overlords,” Noriko Arai showed the secrets of an AI that can pass a college entrance exam, Joseph Redmon revealed an algorithm (called YOLO) that lets AI identify objects accurately, Stuart Russell outlined a plan for aligning AI values with our own, and Radhika Nagpal imagined AI based on the collective intelligence of schools of fish. Later on, Martin Ford warned that, with AI mastering the ability to learn, humans are headed toward a future without work — which will require radical adjustments in society. And Robin Hanson brought us to a trippy possible future where “ems,” emulations or uploaded human minds, run the world.

The need to erase the boundary between ‘me’ and ‘us.’ Some cultures worship many gods, others one. Us? We worship the self, said Rabbi Lord Jonathan Sacks — we think in terms of self-realization and partake in “that newest religious ritual: the selfie.” Sacks challenged us to replace the word ‘self’ with the word ‘other’ and see what happens. “The only people that will save us from ourselves is we.” That thought boomeranged through the week. His Holiness Pope Francis delivered a beautiful message of solidarity: “If there is an ‘us,’ there is a revolution.” Anna Rosling Rönnlund took us to “Dollar Street,” where the world’s poorest people live on the left and the richest on the right. “The person staring back at us from the other side of the world actually looks like you,” she said.

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