IonQ and DOE collaborate on quantum-secure communications via satellites, expanding space capabilities. Partnership includes quantum sensing, navigation, and computing applications in orbit.
Category: satellites – Page 4
‘We must replace this capability now’: New NOAA satellite to replace aging space weather sentinels launches Sept. 23
After decades of relying on aging satellites, NOAA is launching a purpose-built eye on the sun.
An AI model can forecast harmful solar winds days in advance
Scientists at NYU Abu Dhabi (NYUAD) have developed an artificial intelligence (AI) model that can forecast solar wind speeds up to four days in advance, significantly more accurately than current methods. The study is published in The Astrophysical Journal Supplement Series.
Solar wind is a continuous stream of charged particles released by the sun. When these particles speed up, they can cause “space weather” events that disrupt Earth’s atmosphere and drag satellites out of orbit, damage their electrons, and interfere with power grids. In 2022, a strong solar wind event caused SpaceX to lose 40 Starlink satellites, showing the urgent need for better forecasting.
The NYUAD team, led by Postdoctoral Associate Dattaraj Dhuri and Co-Principal Investigator at the Center for Space Science (CASS) Shravan Hanasoge, trained their AI model using high-resolution ultraviolet (UV) images from NASA’s Solar Dynamics Observatory, combined with historical records of solar wind.
NOAA Issues G3 Geomagnetic Storm Warning As 500,000 Kilometer Hole Sends Solar Wind At Earth
“Surface charging may occur on satellite components, drag may increase on low-Earth-orbit satellites, and corrections may be needed for orientation problems,” the NOAA explains of G3 storms, adding “Intermittent satellite navigation and low-frequency radio navigation problems may occur, HF radio may be intermittent, and aurora has been seen as low as Illinois and Oregon (typically 50° geomagnetic lat.).”
Sun activity increases and decreases in an 11-year cycle known as the Schwabe cycle. From 1826 to 1843, German amateur astronomer Heinrich Schwabe observed the Sun, discovering that it rotates on its axis once every 27 days. He noticed the Sun goes from quiet periods, where no sunspots can be seen, to the maximum phase where 20 or more groups of sunspots can be seen.
During the solar cycle, storms can reach up to level G5, classified as “extreme”, around four times on average. While G3-strength storms are more common, with around 200 per solar cycle, they can still produce powerful aurora around the equinoxes due to something known as the “Russell-McPherron Effect”
Ultra-flat optic pushes beyond what was previously thought possible
Cameras are everywhere. For over two centuries, these devices have grown increasingly popular and proven to be so useful, they have become an indispensable part of modern life.
Today, they are included in a vast range of applications—everything from smartphones and laptops to security and surveillance systems to cars, aircraft, and satellites imaging Earth from high above. And as an overarching trend toward miniaturizing mechanical, optical, and electronic products continues, scientists and engineers are looking for ways to create smaller, lighter, and more energy-efficient cameras for these technologies.
Ultra-flat optics have been proposed as a solution for this engineering challenge, as they are an alternative to the relatively bulky lenses found in cameras today. Instead of using a curved lens made out of glass or plastic, many ultra-flat optics, such as metalenses, use a thin, flat plane of microscopic nanostructures to manipulate light, which makes them hundreds or even thousands of times smaller and lighter than conventional camera lenses.
The Space Economy In 2025 | Namrata Goswami
An interesting & apposite article on a vital aspect of the Space-Race not normally covered.
Nearly 15,000 satellites in 432 constellations are driving today’s $570 billion dollar space economy. Dr. Namrata Goswami explains recent predictions for over 60,000 satellites and $2 trillion in space by 2040.
Dr. Namrata Goswami is a Professor of Space Security at Johns Hopkins University and co-author of the book “Scramble for the Skies”. She joins us today to discuss the current state of the emerging space economy and the Great Powers Competition for control of Earth orbit and beyond.
Dr. Namrata Goswami, Professor of Space Security at Johns Hopkins University and co-author of the book “Scramble for the Skies”. She joins us today to discuss the current state of the emerging space economy and the Great Powers Competition for control of Earth orbit and beyond.
Disclaimer: “The views expressed are those of the author and do not reflect the official guidance or position of the United States Government, the Department of Defense, the United States Air Force, or the United States Space Force.”
Elon Musk on DOGE, Optimus, Starlink Smartphones, Evolving with AI, Why the West is Imploding
Questions to inspire discussion.
🧠 Q: What improvements does Tesla’s AI5 chip offer over AI4? A: AI5 provides a 40x improvement in silicon, addressing core limitations of AI4, with 8x more compute, 9x more memory, 5x more memory bandwidth, and the ability to easily handle mixed precision models.
📱 Q: How will Starlink-enabled smartphones revolutionize connectivity? A: Starlink-enabled smartphones will allow direct high bandwidth connectivity from satellites to phones, requiring hardware changes in phones and collaboration between satellite providers and handset makers.
🌐 Q: What is Elon Musk’s vision for Starlink as a global carrier? A: Musk envisions Starlink as a global carrier working worldwide, offering users a comprehensive solution for high bandwidth at home and direct to cell through one direct deal.
🚀 Q: What are the expected capabilities of SpaceX’s Starship? A: Starship is projected to demonstrate full reusability next year, carrying over 100 tons to orbit, being five times bigger than Falcon Heavy, and capable of catching both the booster and ship.
AI and Compute.
Tiny metamaterial lenses could transform imaging for smartphones, drones and satellites
A new approach to manufacturing multicolor lenses could inspire a new generation of tiny, cheap, and powerful optics for portable devices such as phones and drones.
The design uses layers of metamaterials to simultaneously focus a range of wavelengths from an unpolarized source and over a large diameter, overcoming a major limitation of metalenses, said the first author of the paper reporting the design, Joshua Jordaan, from the Research School of Physics at the Australian National University and the ARC Center of Excellence for Transformative Meta-Optical Systems (TMOS).
“Our design has a lot of nice features that make it applicable to practical devices.”
Plasma propulsion system could help remove space debris without contact
Space has a trash problem, with defunct satellites, rockets, and smaller broken bits orbiting Earth at high speeds. The amount of space junk is only increasing, raising the risk of collision with active satellites and spacecraft, according to Kazunori Takahashi, associate professor in the Graduate School of Engineering at Tohoku University in Japan. Takahashi may have a solution, though.
“Owing to their uncontrolled motion and velocity exceeding that of bullets, space debris orbiting around Earth pose a serious threat by significant increase in the potential risk of collisions with satellites that support sustainable human activity in space,” Takahashi said.
“Most current space debris removal methods are direct-contact approaches and carry the risk of becoming entangled in the uncontrolled motion of debris. More recent work has focused on using a plasma thruster to decelerate the debris, forcing it out of orbit.”
Can LLMs figure out the real world? New metric measures AI’s predictive power
In the 17th century, German astronomer Johannes Kepler figured out the laws of motion that made it possible to accurately predict where our solar system’s planets would appear in the sky as they orbit the sun. But it wasn’t until decades later, when Isaac Newton formulated the universal laws of gravitation, that the underlying principles were understood.
Although they were inspired by Kepler’s laws, they went much further, and made it possible to apply the same formulas to everything from the trajectory of a cannon ball to the way the moon’s pull controls the tides on Earth—or how to launch a satellite from Earth to the surface of the moon or planets.
Today’s sophisticated artificial intelligence systems have gotten very good at making the kind of specific predictions that resemble Kepler’s orbit predictions. But do they know why these predictions work, with the kind of deep understanding that comes from basic principles like Newton’s laws?