
Copernical Team
ICEYE secures substantial growth investment to bolster its SAR satellite fleet

Why Figuring Out How Potassium Is Destroyed in Stars Is Important to Understanding the Universe

Winchcombe meteorite's tumultuous space odyssey uncovered by nano-analysis

Astronauts slated for repair mission on space station's NICER telescope

Knot theory aids in mapping efficient space routes

NASA's Solar Sail Set for Space Voyage: Testing New Propulsion Method

Sidus Space Joins Orbital Transports Partner Program to Broaden Market Presence

The rising flood of space junk is a risk to us on Earth—and governments are on the hook

A piece of space junk recently crashed through the roof and floor of a man's home in Florida. Nasa later confirmed that the object had come from unwanted hardware released from the international space station.
The 700g, 10cm-long piece of hardware was expected to burn up, Nasa said. Even a relatively small piece of junk can cause considerable damage when falling from space.
This raises several important questions. Who is liable for damages caused by human-made objects that fall from the sky? Can anything be done to prevent this happening? Luckily, international treaties provide some answers to the first question, while recent developments help with the second.
A clinical decision support system for Earth-independent medical operations

Studying spaceflight atrophy with machine learning

Even intense exercise by astronauts cannot compensate for muscle atrophy caused by microgravity. Atrophy occurs, in part, by way of an underlying mechanism that regulates calcium uptake. Recent research has shown exposure to spaceflight alters the uptake of calcium in muscles. However, the molecular mechanisms that drive these changes are not well studied.
Researchers at Ames Research Center investigated these mechanisms by applying machine learning (ML) to identify patterns in datasets on mice exposed to microgravity. ML methods are particularly effective in identifying patterns in complex biological data and are suited for space biological research where small datasets are often combined to increase statistical power.