If a major disaster like Fukushima or Chornobyl ever happens again, the world would know almost straight away, thanks to an array of government and DIY radiation-monitoring programs running globally.
The Global Semiconductor Radiation Detector Market was valued at approximately US$ 1,061.4 million in 2023 and is expected to reach a market valuation of US$ 1,977.7 million by 2032 to grow at a CAGR ...
The Global Scintillator For Radiation Detector Market is projected to reach US$ 550.1 million by 2032 from US$ 363.9 million in 2023, growing at a CAGR of 4.7% During the Forecast Period 2024–2032. A ...
Ocean Optics reports on how spectroscopy revolutionizes research by utilizing light to analyze materials, improving accuracy ...
Far beneath the Black Hills of South Dakota, a tank of liquid xenon is quietly recording some of the faintest signals in the ...
German researchers have adapted a technology originally designed for space telescopes to make detecting radioactive contamination in dismantled nuclear power plants faster, more precise, and far more ...
“Our small and mighty tech demonstrator PocketQube satellite, SpinnyOne, will return photographs of the fabric during next year’s mission and show the change in colour to the pigments as the satellite ...
From mudstones on Mars to strange gases in exoplanet atmospheres, tentative evidence for extraterrestrial life is starting to ...
Assuming Google does manage to launch a prototype in 2027, will it simply be a high-stakes technical experiment – or the ...
The Daily Galaxy on MSN
Astronauts are about to wear radiation-proof clothes for the moon—and you might want one too!
Astronauts heading to the Moon could soon have a new, unexpected ally in their battle against radiation: bacteria. A team of ...
Barry Manilow's 70s and 80s hits have stood the test of time, making waves in recent social media videos from Instagram to ...
Interesting Engineering on MSN
US Army to use new robotic systems to kill chemical, radiological, nuclear threats
These systems can independently detect, identify, and mitigate CBRN threats by leveraging sensors, AI, and decision-making ...
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