Lifeboat Foundation: Safeguarding Humanity
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Category: robotics/AI – Page 2,069

Galaxy clusters are some of the most massive structures in the cosmos, but despite being millions of lightyears across, they can still be hard to spot. Researchers at Lancaster University have turned to artificial intelligence for assistance, developing “Deep-CEE” (Deep Learning for Galaxy Cluster Extraction and Evaluation), a novel deep learning technique to speed up the process of finding them. Matthew Chan, a Ph.D. student at Lancaster University, is presenting this work at the Royal Astronomical Society’s National Astronomy meeting on 4 July at 3:45pm in the Machine Learning in Astrophysics session.

Most galaxies in the universe live in low-density environments known as “the field”, or in small groups, like the one that contains our Milky Way and Andromeda. Galaxy clusters are rarer, but they represent the most extreme environments that galaxies can live in and studying them can help us better understand and dark energy.

During 1950s the pioneer of galaxy -finding, astronomer George Abell, spent many years searching for galaxy clusters by eye, using a magnifying lens and photographic plates to locate them. Abell manually analysed around 2,000 photographic plates, looking for visual signatures the of galaxy clusters, and detailing the astronomical coordinates of the dense regions of . His work resulted in the ‘Abell catalogue’ of galaxy clusters found in the .

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Credit where credit is due: Evolution has invented a galaxy of clever adaptations, from fish that swim up sea cucumber butts and eat their gonads, to parasites that mind-control their hosts in wildly complex ways. But it’s never dreamed up ion propulsion, a fantastical new way to power robots by accelerating ions instead of burning fuel or spinning rotors. The technology is in very early development, but it could lead to machines that fly like nothing that’s come before them.

You may have heard of ion propulsion in the context of spacecraft, but this application is a bit different. Most solar-powered ion spacecraft bombard xenon atoms with electrons, producing positively charged xenon ions that then rush toward a negatively charged grid, which accelerates the ions into space. The resulting thrust is piddling compared to traditional engines, and that’s OK—the spacecraft is floating through the vacuum of space, so the shower of ions accelerate the aircraft bit by bit.

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Last month, engineers at NASA’s Jet Propulsion Laboratory wrapped up the installation of the Mars 2020 rover’s 2.1-meter-long robot arm. This is the most powerful arm ever installed on a Mars rover. Even though the Mars 2020 rover shares much of its design with Curiosity, the new arm was redesigned to be able to do much more complex science, drilling into rocks to collect samples that can be stored for later recovery.

JPL is well known for developing robots that do amazing work in incredibly distant and hostile environments. The Opportunity Mars rover, to name just one example, had a 90-day planned mission but remained operational for 5,498 days in a robot unfriendly place full of dust and wild temperature swings where even the most basic maintenance or repair is utterly impossible. (Its twin rover, Spirit, operated for 2,269 days.)

To learn more about the process behind designing robotic systems that are capable of feats like these, we talked with Matt Robinson, one of the engineers who designed the Mars 2020 rover’s new robot arm.

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Betty Lim

Is a massive, planetary-wide, space surveillance system currently being constructed that aims to monitor you all the way down to your DNA. Officially, the Space Fence is, according to Wikipedia, a 2nd generation space surveillance system being built (started in 2014) by the US Air Force and Lockheed Martin to track artificial satellites and space debris. Its budget is US$1.594 billion, it’s expected to be operational in 2019 and the Space Fence facility will be located in the Marshall Islands along with an option for another radar site in Western Australia. The Space Fence is a resurrection of a program started by Reagan in the 1980s called SDI (Strategic Defense Initiative), commonly known by its nickname “Star Wars.” However, like many exotic weapons of the New World Order, it has a cover purpose and a real purpose. This article exposes the grander implications of the Space Fence – and how it connects to other technology that could be used to enslave you.

What is the Space Fence?

Although the USAF and Lockheed Martin tell us that the purpose of the Space Fence is to detect, track and catalog space debris, we must acknowledge that the MIC (Military Intelligence Complex) is at the helm of the New World Order and is routinely engaged in psychological operations against the rest of the population. The Space Fence is the answer to the prayers of a control-freak conspiratorial class. It will have the capacity to surveil everything on Earth. Like Skynet in the fictional Terminator films, it could become surveillance beyond comprehension. How? The Space Fence is designed to operate in LEO (Low Earth Orbit). It is designed to be one big interconnected machine, run by AI and joined to current (weaponized) technology by interacting with cell phone towers, Gwen Towers, Nexrad Towers, metal particulates and more to create a giant wireless network that manipulates us through the ionization of our atmosphere.

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Nanosized robots capable of crawling around on a person’s brain or underneath the skin may sound like a nightmare to some, but researchers suggest the mini machines could serve medical purposes such as gathering data on the brain or the spinal column.

Researchers at the University of Pennsylvania and Cornell University recently announced they have built nanosized, solar-powered robots made from silicon. One million such robots can fit on a 4-inch silicon wafer. “These robots are built massively in parallel, so I don’t build just one robot, I build a million robots, which is awesome,” declares Marc Miskin, an assistant professor of electrical and systems engineering at the University of Pennsylvania.

The microscopic machines can carry up to 30 times their own weight, travel at about the speed of biological cells, survive temperatures up to 400 degrees, live unscathed in battery acid or other harsh chemicals, and can be injected with a hypodermic needle.

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You’d be hard-pressed to find more opposite opposites than jellyfish and robots. Jellyfish pump through the oceans with effortless grace, while robots struggle to not fall on their faces—and that’s when they’re not catching on fire.

Now, though, those two worlds are merging, with a tiny, exceedingly simple robot modeled after larval jellyfish that can scoot around untethered like the real thing. At less than a quarter inch across, the magnetically activated robot mimics the entrancing locomotion of a jellyfish and can use the resulting disruption of water flow to manipulate objects or burrow into the ground.

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The recent explosion of interest in artificial intelligence, machine learning, and deep learning has been mirrored by an explosion in book titles on these same topics. One of the best ways to decide which books could be useful for your career is to look at which books others are reading.

If you are searching for some best books to become more acquainted with the essentials of AI and Machine Learning, Here’s some books to help you to discover the best Artificial Intelligence & Machine Learning books of all time.

ARTIFICIAL INTELLIGENCE: A MODERN APPROACH

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