Lifeboat Foundation: Safeguarding Humanity
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The Netflix series takes place hundreds of years in the future, but references versions of technology that have been in development for years, like brain mapping, human and AI neural links, and mind uploading to computers. Millions of dollars has been bumped into technological ideas that promise, one day, our brains will be turned digital. That said, there are those who believe the human mind is too complex, and our consciousness too nuanced, to be recreated in a digital product. And none of that even goes into what would happen if someone’s digitized mind was placed into real human flesh.

Will we ever be able to upload our minds into other bodies? Furthermore, should we? And honestly, if we ever achieved such a feat, could we even call ourselves human anymore? On this week’s Giz Asks, we reached out to experts in neuroscience, philosophy and futurism.

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Although mobile devices such as tablets and smartphones let us communicate, work and access information wirelessly, their batteries must still be charged by plugging them in to an outlet. But engineers at the University of Washington have for the first time developed a method to safely charge a smartphone wirelessly using a laser.

As the team reports in a paper published online in December in the Proceedings of the Association for Computing Machinery on Interactive, Mobile, Wearable & Ubiquitous Technologies, a narrow, invisible beam from a laser emitter can deliver charge to a sitting across a room — and can potentially charge a smartphone as quickly as a standard USB cable. To accomplish this, the team mounted a thin power cell to the back of a smartphone, which charges the smartphone using power from the laser. In addition, the team custom-designed safety features — including a metal, flat-plate heatsink on the smartphone to dissipate from the laser, as well as a reflector-based mechanism to shut off the laser if a person tries to move in the charging beam’s path.

“Safety was our focus in designing this system,” said co-author Shyam Gollakota, an associate professor in the UW’s Paul G. Allen School of Computer Science & Engineering. “We have designed, constructed and tested this laser-based charging system with a rapid-response safety mechanism, which ensures that the laser emitter will terminate the charging beam before a person comes into the path of the laser.”

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Supernovae are already some of the brightest explosions in the universe—but there’s more mysterious type, called superluminous supernovae, that can shine a hundred times brighter than the usual ones. And on August 22, 2016, astronomers spotted one whose light traveled over 10 billion years to reach us.

The discovery of the event, called DES16C2nm, was exciting enough on its own since it would normally have been invisible to telescopes if not for the fact that the universe is expanding, thus stretching the light from the explosion into wavelengths we can see from Earth. More generally, these flashes can tell the story of our universe, like what kinds of stuff lives between stars in distant galaxies, and other quirks of the cosmos.

“The more distant supernovae we see, the more information we get on those stars.” one of the study’s authors, Charlotte Angus from the University of Southampton in the United Kingdom, told Gizmodo.

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Australian researchers from the ARC Centre of Excellence for Nanoscale BioPhotonics (CNBP) have developed a 3D printable ‘clip-on’ that can turn any smartphone into a fully functional microscope.

Reported in the research journal Scientific Reports, the smartphone microscope is powerful enough to visualise specimens as small as 1/200th of a millimetre, including microscopic organisms, animal and plant cells, blood cells, cell nuclei and more.

The clip-on technology is unique in that it requires no external power or light source to work yet offers high-powered microscopic performance in a robust and mobile handheld package.

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In an example of life imitating art, scientists have come up with a technology straight out of an episode of Black Mirror: Bee-like pollinating drones.

A team at the National Institute of Advanced Industrial Science and Technology (AIST) in Japan engineered the devices using a combination of horsehair, $USD 100 drones and a sticky ion gel.

It’s pretty simple really – first, the drones fly into flowers much like a bee would. Inside the flower, pollen gets stuck to the drone due to the combination of the ion gel and horsehair. That same pollen is then shaken off into the next flower, and so on. It’s just your run of the mill birds and the robots bees.

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For many years doctors have been able to get a look inside a person’s body using X-ray scans, or placing a tiny camera inside the body. But those tools provide a limited view and can only reveal so much. A recently developed camera, however, may give doctors the ability to see everything happening in the human body, no matter where it is.

The camera was developed by researchers from the University of Edinburgh, and it’s meant to work while paired with an endoscope — a long, slender piece of equipment that usually has a camera, sensors, and lights at its tip.

Light emitted by the endoscope typically scatters when it comes into contact with structures within the body, such as body tissue, but the new camera is able to pick up on it thanks to the photon detectors inside of it. The camera is able to detect light sources behind as much as 20 centimeters (7.9 inches) of bodily tissue.

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By using insights from one job to help it do another, a successful new artificial intelligence hints at a more versatile future for machine learning.

Backstory: Most algorithms can be trained in only one domain, and can’t use what’s been learned for one task to perform another, new one. A big hope for AI is to have systems take insights from one setting and apply them elsewhere—what’s called transfer learning.

What’s new: DeepMind built a new AI system called IMPALA that simultaneously performs multiple tasks—in this case, playing 57 Atari games—and attempts to share learning between them. It showed signs of transferring what was learned from one game to another.

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