Lifeboat Foundation: Safeguarding Humanity
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Quantum technology holds immense promise, yet it is riddled with complexity. Anticipated to usher in a slew of technological advancements in the upcoming decades, it is set to offer us more compact and accurate sensors, robustly secure communication networks, and high-capacity computers. These advancements will outpace the capabilities of present computing technologies, aiding in the swift development of new drugs and materials, controlling financial markets, and enhancing weather forecasting.

To realize these benefits, we require what are termed as quantum materials, which display significant quantum physical effects. One such material is graphene.

Graphene is an allotrope of carbon in the form of a single layer of atoms in a two-dimensional hexagonal lattice in which one atom forms each vertex. It is the basic structural element of other allotropes of carbon, including graphite, charcoal, carbon nanotubes, and fullerenes. In proportion to its thickness, it is about 100 times stronger than the strongest steel.

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Imagine a juggler tossing balls into the air. The art of juggling is a dance between motion and pause, where the ball’s speed slows as it ascends, and then quickens on the way down. This dance reveals one of the core tenets of physics: conservation laws.

Simply put, these laws tell us that certain features of our world, like energy, don’t just vanish; they transform from one form to another. In our juggling example, the energy of motion (kinetic energy) morphs into the energy of position (potential energy) and back again.

Conservation laws aren’t just limited to juggling, or even Earth for that matter. They’re universal principles, true across various fields of physics. Yet, they aren’t always straightforward.

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Not all wages are bad. If you’re a doctor or nurse you can earn decent. Even a PC tech can earn around $24 an hour or more and cyber security 100k and if you are an engineer you can earn a lot. If you work in a gas station however you won’t earn much. If you are in assembly not much either. It takes skills to earn money. Plus the politicians determine the wages too, it’s not all on big tech. Some tech companies pay more than others of course but knowing AI will increase your wages. They have courses on ChatGPT online now. Even if you run a farm you earn the most money. They’re afraid of progress or I dunno what. Yes we proceed with caution but it’s not like we stop. China won’t nor Russia nor the Middle East etc and even if we’re not in conflict we’ll be left behind.

New book re-examines textile workers’ uprising against the use of technology to erase jobs centuries ago in light of similar problems stemming from AI.

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A metallic-looking rock that smashed through the roof of a residential home in New Jersey’s Hopewell Township earlier this week is indeed a meteorite — a rare one about 4.6 billion years old, scientists confirmed on Thursday (May 11).

“It was obvious right away from looking at it that it was a meteorite in a class called stony chondrite,” Nathan Magee, chair of the physics department at The College of New Jersey (TCNJ), whose office was contacted by the Hopewell Township police soon after the rock was found on Monday (May 8), told Space.com.

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As Tesla’s Optimus robot shows off new capabilities in pick ‘n’ place sorting and one-legged yoga balancing, Singaporean company Fourier Intelligence has released new video showing the production process for its super-strong GR-1 humanoid.

Fourier claims the GR-1 can carry up to an extraordinary 50 kg (110 lb) of weight, thanks to a particularly beefy pair of robo-buttocks in the form of two 300-Nm (221-lb-ft) hip actuators.

Its arms and hands, though, look pretty spindly, and the company has flagged its intention that this robot will act as a rehab therapy assistant, with grab handles at its waist to help people stand up out of wheelchairs and beds. So there’s every chance that’s where these loads will be carried.

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Scientists at the National Institute of Standards and Technology (NIST) with colleagues elsewhere have employed neutron imaging and a reconstruction algorithm to reveal for the first time the 3D shapes and dynamics of very small tornado-like atomic magnetic arrangements in bulk materials.

These collective atomic arrangements, called skyrmions—if fully characterized and understood—could be used to process and store information in a densely packed form that uses several orders of magnitude less energy than is typical now.

The conventional, semiconductor-based method of processing information in binary form (on or off, 0 or 1) employs electrical charge states that must be constantly refreshed by current which encounters resistance as it passes through transistors and connectors. That’s the main reason that computers get hot.

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How many times have you shown up to a video meeting with people at work only to find you have terrible internet that day? Maybe the others on the call are cutting in and out, or maybe your own signal is being corrupted on their screen. Regardless, many remote workers have found a simple solution—turn down the video quality and focus on audio.

In a very general sense, this is the same technique that researchers leverage when using quantum squeezing to improve the performance of their sensors. Mark Kasevich, a professor of physics and applied physics at Stanford University and a member of Q-NEXT, uses quantum squeezing in his work developing .

Q-NEXT is a U.S. Department of Energy (DOE) National Quantum Information Science Research Center led by DOE’s Argonne National Laboratory. Center researchers use quantum squeezing to make better measurements of quantum systems.

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