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Feb 14, 2022

Fun fact: If you laid the International Space Station out end-to-end on a football field…

Posted by in category: space

Fun fact: If you laid the International Space Station out end-to-end on a football field… it would be really tough to play a game. 🙃

The International Space Station is 356 feet (109 meters) long, just about one yard shy of an American football field—including the end zones. Go deep on more space station fun facts this #SBLVI: https://go.nasa.gov/3swABkE

Feb 14, 2022

Jared Isaacman announces SpaceX Polaris Dawn programme, 1st crewed Starship launch

Posted by in category: space travel

It is interesting that SpaceX has created working EVA suits for use later this year. Also cool that another crewed Starship mission has been planned. Finally note this is yet another mission without professional astronauts. (2 out of the 3 scheduled crewed Starship missions are with nonprofessionals.)


Jared Issacman would serve as the mission commander and will be accompanied by pilot Scott Poteet and SpaceX employees Sarah Gillis and Anna Menon.

Feb 14, 2022

The Space Renaissance Academy opened the subscription to the Space Renaissance Ambassadors High Level Training Course

Posted by in category: space

For SRI members the course is free of c… See more.

Feb 14, 2022

Su-75: Is Russia’s New Stealth Fighter Actually Stealth?

Posted by in categories: military, robotics/AI

Earlier this year, Russia unveiled their forthcoming “stealth fighter,” the single-engine Su-75 Checkmate, with bold claims about its expected performance and capabilities. Now, as the fighter is being displayed on foreign soil for the first time at this week’s Dubai Air Show, formal statements from its manufacturer have called its stealth credentials into question.

As we discussed at the time, Russia has a long and illustrious history of exaggeration when it comes to unveiling new defense technologies, from the Uran-9 infantry robot that garnered global headlines despite secretly not working at all, to the Checkmate’s older sibling, the Su-57, which is considered the least stealth of its fighter generation and currently exists only in token numbers. Even successful designs like the T-14 Armata main battle tank are smothered under a lack of funding, with Russia unable to produce or field them in any reasonable numbers.

And while the Su-75 has yet to even manifest in a flyable way, the firm responsible for developing the aircraft has carefully tip-toed around the topic of stealth throughout multiple stories published by Russia’s state-owned news outlets in recent months. Even the language used by these outlets is more reserved than you’ll often find in the international media. As one glaring example, you’ll find the Su-75 Checkmate referred to as a stealth fighter all throughout American media… but you won’t find Rostec (the firm developing the aircraft) use that term.

Feb 14, 2022

Russia is working on 72-meter sub — 21 knots, low radar signature

Posted by in categories: energy, engineering, military

Russia’s diversified design bureau for marine engineering, Rubin, unveiled a project for a modified version of a submarine that the company is working on.


MOSCOW, ($1=76.79 Russian Rubles) — Russia’s diversified design bureau for marine engineering, Rubin, has unveiled a project for a modified version of the Guardian submarine that the company is working on. Rubin is the greatest designer of Soviet and Russian submarines – 85% of them are the work of the company.

According to preliminary data, the submarine is designed to reach a maximum speed of 21 knots. If it travels at 10 knots, it can travel a maximum of 4,000 miles. Ruby achieves this speed by integrating a more powerful power plant, as well as reducing the resistance to movement in the surface position.

Continue reading “Russia is working on 72-meter sub — 21 knots, low radar signature” »

Feb 14, 2022

City Air is Just as Dangerous to Your Health as it was 20 Years Ago States The Lancet

Posted by in categories: biotech/medical, government, health

Urban air pollution exposure is an ongoing critical challenge for humanity today because the majority of us live in cities. A just-published study in The Lancet Planetary Health reports that 2.5 billion live in urban areas where particulate matter levels exceed World Health Organization (WHO) safety guidelines causing more than 1.8 million attributed deaths annually. The study reports that “the global health burden of ambient fine particulate matter is increasing annually” and is associated with mortality from cardiovascular, respiratory, and lung diseases including cancer. And in terms of chronic diseases, particulate matter in the air contributes to asthma, bronchitis and emphysema, and seen as the leading environmental risk humans face today.

What is particulate matter? The Canadian government defines it as airborne particles that can be solid or liquid. Particulate matter comes from natural and human sources. The natural ones can be seen when volcanoes erupt spewing ash and other aerosols high into the atmosphere. But far more dangerous because of the sheer volume, is human-produced particulate matter coming from smokestacks, tailpipes, power plants, recently tilled fields, tires running across asphalt and concrete roads, and other human activities that release fine particles into the wind. The lighter and smaller the particle, the greater the threat. That’s because fine particulate matter is easier to inhale. It’s also easier to enter the pores of leaves in plants, and easier as liquid aerosols to bind to our buildings and bridges and other infrastructure where its acidic nature causes corrosion.

A particle of 2.5 micrometres (equivalent to 0.00009843 inches) or less is a public health threat. The U.S. Environmental Protection Agency tracks aerosol pollution at this size and on its site notes that particulate matter smaller than 2.5 micrometres has been declining for two decades. The Lancet study contradicts this finding noting that globally levels of airborne particulate matter have changed very little in twenty years. And where’s the greatest rise? In the cities of Southeast Asia.

Feb 14, 2022

Will the Primary Purpose of the Metaverse be to Escape Reality or Create an Alternate One?

Posted by in category: virtual reality

Will we find a way to escape our reality by immersing ourselves in virtual reality?

Feb 14, 2022

Will We Discover Extraterrestrial Life This Decade?

Posted by in category: alien life

Do organics found on Mars indicate past life or are there nonbiological explanations? When will we definitively know that alien life exists?

Feb 14, 2022

The Stark Reality of a Global Pandemic: The Official Numbers Don’t Tell the Entire Story

Posted by in category: biotech/medical

Excess death modelling varies. But all modellers agree that the official mortality numbers seriously underestimate COVID-19 deaths.

Feb 14, 2022

Is the Artificial Intelligence Classified as Machine Learning Becoming More Personable?

Posted by in categories: biotech/medical, robotics/AI

Please welcome Samantha Higgins, who defines herself as a professional writer with a passion for research, observation, and innovation. She resides in Portland, Oregon with her husband and her two twin boys. When she’s not writing about artificial intelligence and other technology subjects, Samantha loves kayaking and reading creative non-fiction. In this her first contribution to 21st Century Tech Blog, she talks about the progress being made by those who create the neural networks that make computers learn about the patterns in human existence. That’s what machine learning is all about.

Machine learning is a technology that gives us language translation applications, word prediction when composing emails and texts, and suggestions on the order presentation within social media feeds. It is a technology used by many industries from healthcare where it can aid in medical diagnosis and interpretation of radiology images, as well as in the operation of autonomous vehicles.

Machine learning is a subcategory of artificial intelligence (AI), software tools that learn without explicitly relying on programming. Many companies deploying AI today are primarily using machine learning to help reduce labor costs and increase productivity.