Posted in robotics/AI, space | Leave a Comment on The Sublime
All 3D models created with Meshy AI
https://www.meshy.ai/?utm_source=youtube&utm_medium=fimcrux.
The sublime is an emotion described as equal parts awe and terror; a perfect description of our universe.
We created this short film concept showcasing a future vision of how humans might continue exploring that universe.
We used Meshy AI to generate all the 3D models in this film, like the ships, space probes and asteroids.
Most of Earth’s meteorites also trace their origins to S-type asteroids, yet they contain minimal organic material. This scarcity has made analyzing their organic content a significant challenge. In contrast, the Hayabusa mission’s meticulously curated samples are free from terrestrial interference, enabling groundbreaking studies of organic compounds.
Among the particles returned by Hayabusa, one named “Amazon” has proven particularly revealing. Measuring just 30 micrometers wide, Amazon offers a rare opportunity to investigate both water and organic content. Its unique shape, reminiscent of the South American continent, underscores its distinctiveness.
Amazon’s mineral composition includes olivine, pyroxenes, albite, and traces of high-temperature carbonates. These minerals confirm its origin as an S-type asteroid, linking it directly to ordinary chondrites.
New studies led by researchers at the University of Central Florida offer for the first time a clearer picture of how the outer solar system formed and evolved based on analyses of trans-Neptunian objects (TNOs) and centaurs.
The findings, published today in Nature Astronomy, reveal the distribution of ices in the early solar system and how TNOs evolve when they travel inward into the region of the giant planets between Jupiter and Saturn, becoming centaurs.
TNOs are small bodies, or “planetesimals,” orbiting the sun beyond Pluto. They never accreted into planets, and serve as pristine time capsules, preserving crucial evidence of the molecular processes and planetary migrations that shaped the solar system billions of years ago. These solar system objects are like icy asteroids and have orbits comparable to or larger than Neptune’s orbit.
UNSW engineers have developed and built a special maser system that boosts microwave signals—such as those from deep space—but does not need to be super-cooled.
They say that diamonds are a girl’s best friend—but that might also soon be true for astronomers and astrophysicists following the new research. The team of quantum experts have developed a device known as a maser which uses a specially created purple diamond to amplify weak microwave signals, such as those which can come from deep space.
Most importantly, their maser works at room temperature, whereas previous such devices needed to be super-cooled, at great expense, down to about minus 269°C.
A new computer model can be used to detect and measure interior oceans on the ice covered moons of Uranus. The model works by analyzing orbital wobbles that would be visible from a passing spacecraft. The research gives engineers and scientists a slide-rule to help them design NASA’s upcoming Uranus Orbiter and Probe mission.
When NASA’s Voyager 2 flew by Uranus in 1986, it captured grainy photographs of large ice-covered moons. Now nearly 40 years later, NASA plans to send another spacecraft to Uranus, this time equipped to see if those icy moons are hiding liquid water oceans.
The mission is still in an early planning stage. But researchers at the University of Texas Institute for Geophysics (UTIG) are preparing for it by building a new computer model that could be used to detect oceans beneath the ice using just the spacecraft’s cameras.
After its formation, the moon may have been the scene of such immense volcanic activity that its entire crust melted several times and was completely churned through. At that time, the moon orbited significantly closer to Earth than today. The resulting tidal forces heated up its interior and thus powered the violent volcanism. Only Jupiter’s moon Io, by far the most volcanically active body in the solar system, offers comparable conditions.
These new considerations published today in the journal Nature by an international team of researchers from the University of California Santa Cruz, the Max Planck Institute for solar system Research (MPS) and the Collège de France resolve previous contradictions and inconsistencies regarding the age of the moon. According to the researchers, the moon was formed between 4.43 and 4.51 billion years ago. Its crust, however, appears around 80 to 160 million years younger.
The moon is apparently quite reluctant to reveal its age. Attempts to uncover its secret have yielded estimates that lie several hundred million years apart: While some researchers suggest that our cosmic companion was formed 4.35 billion years ago, others date its birth to 4.51 billion years ago.
At night, charged particles from the sun caught by Earth’s magnetosphere rain down into the atmosphere. The impacting particles rip electrons from atoms in the atmosphere, creating both beauty and chaos. These high-energy interactions cause the northern and southern lights, but they also scatter radio signals, wreaking havoc on ground-based and satellite communications.
Scientists would like to track electrical activity in the ionosphere by measuring the distribution of plasma, the form matter takes when positive ions are separated from their electrons, to help better predict how communications will be affected by electromagnetic energy.
But analyzing plasma in the ionosphere is a challenge because its distribution changes quickly and its movements are often unpredictable. In addition, collisional physics makes detecting true motion in the lower ionosphere exceedingly difficult.
Non-personalized content and ads are influenced by things like the content you’re currently viewing and your location (ad serving is based on general location). Personalized content and ads can also include things like video recommendations, a customized YouTube homepage, and tailored ads based on past activity, like the videos you watch and the things you search for on YouTube. We also use cookies and data to tailor the experience to be age-appropriate, if relevant.
Select “More options” to see additional information, including details about managing your privacy settings. You can also visit g.co/privacytools at any time.
We often imagine that our planet might be a sentient entity — Gaia — but could something like this evolve under known science? And might a conscious world be something we might create in the future?
Get a free month of Curiosity Stream: https://curiositystream.com/isaacarthur.
Join this channel to get access to perks:
/ @isaacarthursfia.
Visit our Website: http://www.isaacarthur.net.
Join Nebula: https://go.nebula.tv/isaacarthur.
Support us on Patreon: / isaacarthur.
Support us on Subscribestar: https://www.subscribestar.com/isaac-a…
Facebook Group: / 1583992725237264
Reddit: / isaacarthur.
Twitter: / isaac_a_arthur on Twitter and RT our future content.
SFIA Discord Server: / discord.
Credits:
Sentient Planets \& World Consciousnesses.
Science \& Futurism with Isaac Arthur.
Episode 312a, October 17, 2021
Written, Produced \& Narrated by Isaac Arthur.
Editors:
A new visual recognition approach improved a machine learning technique’s ability to both identify an object and how it is oriented in space, according to a study presented in October at the European Conference on Computer Vision in Milan, Italy.
Self-supervised learning is a machine learning approach that trains on unlabeled data, extending generalizability to real-world data. While it excels at identifying objects, a task called semantic classification, it may struggle to recognize objects in new poses.
This weakness quickly becomes a problem in situations like autonomous vehicle navigation, where an algorithm must assess whether an approaching car is a head-on collision threat or side-oriented and just passing by.
