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😗 year 2021.


A term MEG refers to motionless electromagnetic generator circuit which is designed to generate electrical energy without using any moving components or involving any kind of mechanical stages.

The device is made solely through a strategic placement and interaction of permanent magnets, coils and a ferromagnetic core. The specialty of this device as claimed by the inventors and researchers lies in its potential to generate an output power much higher than the induced input triggering power.

A new, giant species of trapdoor spider has been discovered in Queensland, Australia, which researchers are describing as “rare” and “secretive.”

The species, Euoplos dignitas, was identified after four years of intensive fieldwork by researchers at Queensland Museum, following the discovery of an undescribed species in the museum’s collection.

“This species was first known from older specimens stored in the Queensland Museum collection, mostly collected in the early and mid-20th century,” Michael Rix, principal curator of arachnology at Queensland Museum, who led the study, told Newsweek.

The province, however, is seeking a solution to its future relevance taking baby steps of which CFGC is one. Having said this, it still is an important initiative that could have enormous Canada-wide impacts.

What is carbon fibre?

Carbon fibre is less than a tenth the thickness of human hair. It contains carbon atoms almost exclusively. It is lightweight yet strong and can be bundled with other carbon fibres, woven, pressed and moulded. Carbon fibre material can be turned into tubes for bicycles, tennis rackets, and golf clubs. As a sheet, it can be moulded and turned into body parts for automobiles and trucks. Today, it is in the wings of modern aircraft replacing aluminum and steel. It is in Rocket Lab’s Electron rocket. And in construction, it can be used instead of concrete, brick, wood, and even steel.

Year 2022 Basically this mechanoluminescence material can bring illumination to the mysterious info of stress in infrastructure so there could eventually be an easier way to measure aging infrastructure.


Both in Japan and other developed countries, social infrastructure built during periods of rapid economic growth is rapidly aging, and accidents involving aging infrastructure are becoming more frequent. The useful life of infrastructure is considered to be about 50 years due to the deterioration of concrete, a key component. Concrete eventually cracks due to internal chemical reactions and external forces, and so-called “moving cracks” that are gradually progressing due to the constant application of force are particularly dangerous. However, finding such cracks is a difficult task that requires significant time and effort. That’s why Nao Terasaki, a team leader at the National Institute of Advanced Industrial Science and Technology (AIST), and his colleagues have developed a luminescent material that helps reveal dangerous cracks by making them glow.

Talk about your skill 👏 👌 😉 The human potential is limitless:3.


Nothing — not even protocol — is going to stop this thrill seeker.

Last month, Alexis Landot made a terrifying 400-feet barefoot climb up the Tour Franklin, a glass skyscraper in Paris, France, completing the climb in just 35 minutes.

The 22-year-old — who has been climbing full-time for three years — posted a video of his incredible feat to social media, which shows him ascending the building in jean shorts, a T-shirt and no shoes.

Summary: The psychedelic compound DMT (Dimethyltryptamine) increases connectivity across the brain, allowing for greater communication between different areas and networks. The brain changes are most prominent in brain areas linked to higher functioning, such as imagination.

Source: Imperial College London.

Scientists have gleaned new insights into how psychedelics alter conscious experience via their action on brain activity.

Last week saw a plethora of new advances in AI, including the much-anticipated release of GPT-4.

Rarely, if ever, has more progress been witnessed in AI than what we are currently seeing. This is clearly an exceptional time for the field, with much hype and speculation around what the near future may bring.

ANYONE can make a cartoon with this groundbreaking technique. Want to learn how? We made a ONE-HOUR, CLICK-BY-CLICK TUTORIAL on http://www.corridordigital.com/

Watch the full ROCK PAPER SCISSORS anime on Corridor â–ș https://youtu.be/GVT3WUa-48Y

This project has been a huge labor of love, and it is due to the amazing open-source community that we have this technology available to us. We hope that by sharing our discoveries and techniques that we can help push this technology forward for everyone. If you want to dip your toes into this tech, there are many amazing online communities ready to help teach you, including ours!

With Your Support, We Can Make More! â–ș

If it’s always been your dream to have the ability to live forever, you may be in luck as scientists believe we are just seven years away from achieving immortality. Futurist and computer scientist Ray Kurzweil has made predictions on when the human race will be able to live forever and when artificial intelligence (AI) will reach the singularity, and he believes it could be possible as early as 2030.

One of the oldest tools in computational physics — a 200-year-old mathematical technique known as Fourier analysis — can reveal crucial information about how a form of artificial intelligence called a deep neural network learns to perform tasks involving complex physics like climate and turbulence modeling, according to a new study.

The discovery by mechanical engineering researchers at Rice University is described in an open-access study published in the journal PNAS Nexus, a sister publication of the Proceedings of the National Academy of Sciences.

“This is the first rigorous framework to explain and guide the use of deep neural networks for complex dynamical systems such as climate,” said study corresponding author Pedram Hassanzadeh. “It could substantially accelerate the use of scientific deep learning in climate science, and lead to much more reliable climate change projections.”