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CERN has revealed plans for a gigantic successor of the giant atom smasher LHC, the biggest machine ever built. Particle physicists will never stop to ask for ever larger big bang machines. But where are the limits for the ordinary society concerning costs and existential risks?

CERN boffins are already conducting a mega experiment at the LHC, a 27km circular particle collider, at the cost of several billion Euros to study conditions of matter as it existed fractions of a second after the big bang and to find the smallest particle possible – but the question is how could they ever know? Now, they pretend to be a little bit upset because they could not find any particles beyond the standard model, which means something they would not expect. To achieve that, particle physicists would like to build an even larger “Future Circular Collider” (FCC) near Geneva, where CERN enjoys extraterritorial status, with a ring of 100km – for about 24 billion Euros.

Experts point out

A machine which triples the time livers can survive outside the body promises to halve the transplant waiting list, experts have said as officials approved its use in the NHS.

Hundreds more patients with advanced liver disease — Britain’s fifth biggest killer — have hope of a successful transplant after the “game-changing” technique was given the green light by the National Institute of Health and Care Excellence (Nice).

Currently livers intended for transplant typically survive for only about eight to ten hours on ice.

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An innovative tool for discovering new materials has shown promise for materials engineers. Throughout history, civilizations have been known by the tools they created and left behind. To create those tools, engineers in every era have had to access materials to accomplish their goals. In the modern era, this often led innovators to craft their own unique materials.


The research has been called a “game changer” in discovering new technologies and the materials to build those technologies.

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Missions like the Kepler Space Telescope and the newer Transiting Exoplanet Survey Satellite (TESS) have revealed thousands of exoplanets out there among the stars, but we know surprisingly little about them. To get up close and personal, we’re going to need extremely precise space telescopes. MIT scientists have proposed an innovative way to make sure those instruments remain calibrated and capable of peering at distant exoplanets. They suggest designers incorporate a smaller secondary satellite that can act as a “guide star” for the telescope.

Space researchers are anxious to get new super-sized telescopes in space because the equipment we have right now is only adept at finding planets and relaying basic information. Most exoplanets in the database were discovered via the transit method, which watches for dips in brightness as planets pass in front of their home stars. From this, we can often discern a planet’s size, orbit, and approximate temperature. To get detailed data about its atmosphere and composition, we need telescopes like the upcoming (and chronically delayed) James Webb Space Telescope.

Webb will offer much greater imaging prowess than Hubble because its primary mirror is larger, composed of 18 hexagonal segments with a total diameter of 6.5 meters. In the coming decades, space telescopes could reach 15 meters with as many as 100 mirror segments. Such telescopes would have a coronagraph, an instrument capable of separating the intense light of a star from the faint light of an exoplanet. If this measurement isn’t perfect, the telescope would be unable to resolve the details on a planet.

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Frequently reported advances in artificial intelligence make some people curious, and others nervous. While some people picture their next smart appliance purchase being an AI robot, others wonder if an AI robot will take their job. The truth is, neither of those scenarios will be a reality anytime soon.

There’s a misunderstanding about artificial intelligence (AI), and it’s a big deal. True AI doesn’t exist yet, and it’s not a likely near future, either. Despite analysis of science fiction movies and scientific reports that claim otherwise.

People get excited when new breakthroughs in machine learning are publicized, like the CNBC interview with a robot named Sophia. Sophia’s ability to answer the interviewer’s questions and stay on point is jaw-dropping for many. The truth is, Sophia isn’t any closer to true AI than the last robot. She’s programmed to provide better responses, and her lifelike appearance makes her impressive, but even Sophia isn’t demonstrating true AI. She’s not autonomous, and can’t make her own decisions.

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In the rare books collection of the Huntington Library in San Marino, California, a large tome tied with string sits in an ivory box that looks like it came from a bakery. At one point, the book belonged to Edwin Hubble, who revealed that galaxies exist beyond our own and that the universe is expanding, among other things, at nearby Mount Wilson Observatory. Between the well-worn leather cover boards, I find some of the first detailed maps of the lunar surface, illustrated and engraved in the 17th century. As I delicately place the volume back in the box, the covers leave a light brown residue on my fingertips—a small remnant of one man’s quest to tame the moon.

The book, titled Selenographia, was created by perhaps the most innovative Polish astronomer since Copernicus. But Johannes Hevelius, as we call him in the English-speaking world, has been somewhat more forgotten among history’s great scientists. Selenographia was the first book of lunar maps and diagrams, extensively covering the moon’s various phases. More than 300 years before humans stepped onto the moon’s surface, Hevelius was documenting every crater, slope and valley that he could see with his telescope. He conducted these observations, as well as others for a comprehensive star catalog, using his own equipment in a homemade rooftop observatory.

Published in 1647, Selenographia made Hevelius a celebrity of sorts. The Italian astronomer Niccolo Zucchi even showed a copy of the book to the pope. Of course, like Copernicus before him, Hevelius believed that that the Earth orbited the sun. And according to Johannes Hevelius and His Catalog of Stars, published by Brigham Young University Press, Pope Pius IX said Selenographia “would be a book without parallel, had it not been written by a heretic.”

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Scientists have long known that synthetic materials—called metamaterials—can manipulate electromagnetic waves such as visible light to make them behave in ways that cannot be found in nature. That has led to breakthroughs such as super-high resolution imaging. Now, UMass Lowell is part of a research team that is taking the technology of manipulating light in a new direction.

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