Ai in astrophysics ppt

A team from the Harvard-Smithsonian Center for Astrophysics created a language model called astroBERT to read and organize 15 million scientific papers on astronomy.
Another team
Has even proposed using AI to prioritize astronomy projects
A process that astronomers engage in every 10 years.

It is therefore imperative to develop machine intelligence suitable for processing the amount and variety of astronomical data that will be collected
And capable of answering scientific questions based on the data.

Using the huge libraries of observed light curves, astronomers have been able to develop ML-based models that can outperform humans in the search for exoplanets

But AI can do much more than just find exoplanets: It can also lead astronomers to new insights into how those techniques work

Artificial intelligence in astronomy - BBC Sky at Night Magazine Sifting through astronomical data is time-consuming

Luckily, ‘intelligent’ computers may be able to help

Sifting through astronomical data is time-consuming

Luckily, ‘intelligent’ computers may be able to help

One area of astronomy where AI has made a significant impact is in the search for exoplanets

There are many ways to look for their signals, but the most productive methods with current technology usually involve studying the variation of a star’s brightness over time