标签：#space

Astronomers will test equipment that, if it’s successful, will one day be crucial for discovering Earthlike planets.

"It's called the US Space Academy. That's a big deal."

"From here on, Starlink missions out of Florida will fly on Starship."

"Everyone wants to take that aircraft up now..."

How AI Helps Us Explore the Universe Modern telescopes and space missions generate more data in a single night than a team of human astronomers could review in a lifetime. The Vera C. Rubin Observatory in Chile, for instance, is expected to produce up to seven million alerts every night once it reaches full operational cadence, each one flagging something in the sky that changed since the last image. No group of humans can look at that stream and make sense of it in real time. Machine learning can, and increasingly does. This is the quiet story behind most recent breakthroughs in astronomy: it is not just bigger telescopes, but bigger telescopes paired with models that can filter, classify, reconstruct, and predict faster than any manual pipeline. Here is a tour of where AI is actually doing that work, and why it matters to anyone who writes code. The Data Problem Comes First Space science has quietly become a big data problem. The Rubin Observatory's ten-year Legacy Survey of Space and Time will produce roughly 60 petabytes of raw imagery and catalog around 20 billion galaxies and a similar number of stars. Every image the telescope takes is compared, pixel by pixel, against previous images of the same patch of sky, and any meaningful difference (a moving asteroid, a brightening supernova, a flaring galactic nucleus) triggers an alert within about two minutes of the exposure being taken. That alert stream is too large and too fast for manual triage. So astronomers built software "brokers": machine learning classifiers that sit between the telescope's raw output and the scientists, deciding in near real time which alerts are worth a second look. This is a pattern you will see across almost every domain of modern astronomy: instruments generate more signal than humans can parse, and a model is inserted into the pipeline to do the first pass of filtering. Finding Planets in a Sea of Noise Exoplanets are found mostly through the transit method: a planet passes in front

The eclipse will obscure about 93 percent of the moon’s surface. Here are the peak times and tips for the best viewing experience.

"We're living in this world of scarcity with the Moon."

'We're preparing to build a spaceport that, until now, has only existed in science fiction,'

SpaceX aims to launch Starship from Florida by the end of the year. 2027 seems more likely.

Elon Musk wants to harness solar energy for AI.

The company says it will start construction in 2027 and that a Starship rocket could take flight as soon as 2029.

"This will be a project like no other."

NASA's Nancy Grace Roman Space Telescope is scheduled for launch on August 30.

The president bought when the stock was in the mid-$150 range. SpaceX finished trading on Monday back at its IPO price of $135.

The Nancy Grace Roman Space Telescope is expected to discover as many as 200,000 new planets and reveal details about the elusive nature of dark matter and dark energy.

"The Chang’e 7 mission does not meet the conditions for launch."

The LINK probe was supposed to use robotic arms to capture Swift and lift it into a safe orbit. Problems with its control system forced NASA to call off the attempt.

Japanese space startup Letara is betting its hybrid rocket technology can move beyond small satellite thrusters into a broader market for space, defense and security, after raising ¥2.6 billion ($16 million).

"We probably need another site that's capable of heavy and super heavy launch capability."

There's about to be a big fight to secure access to space.