Detecting Habitability of Exoplanets with Machine Learning. I decided to develop a machine learning project to predict these habitable planets. By going into this project, I extracted two datasets: Nasa exoplanet archive and PHL’s habitable exoplanet catalog.
Researchers from JPL, created this AI tool where for the “first time” researchers are leveraging AI to identify unknown craters on Mars
Martin Henze joined Kaggle to learn more about machine learning, and to use ML tools for his astrophysics projects.
So, due to my curiosity in astronomy, I decided to develop a Machine Learning project on Nasa’s exoplanet archive. By going into this project, I aimed to measure how efficiently works M.L algorithms to find these other planets.
Are the tools of artificial intelligence, data science, and deep learning advanced enough to crack the secrets of the immeasurable Universe? Let’s find out!
In this article, we'll dig into an API that, like the one above, returns NASA data in JSON format. We’ll explore a small portion of all the available information provided through NASA Open APIs. We'll visualize that data with a Python library called Bokeh to help contextualize it for the viewer.
Now we have extracted, transformed, and loaded that data into our data warehouse system, we will put that data to use in our final product: an interactive dashboard having a custom layout designed by us with the aid of a relatively new dashboard and data visualization tool — Dash by Plotly.
Space Science with Python — Asteroid Project. Part 21 of the tutorial series starts with a first science project: The detectability of so called Near-Earth Objects (NEOs).
NASA’s new ML model can improve the accuracy of the prediction of hurricane intensity and provide better results.
This article provides a step-by-step overview of how to access solar data, preprocess it, and build a Topological Data Analysis-based classifier. We then discuss the performance of the classifier at the end.
The Astro Pi jury has chosen ten winning and eight highly commended Mission Space Lab teams whose science experiments were truly impressive.
Paul Bailey from the United States has been nominated for a 2020 Noonie in the Software Development category. He is a System Architect at CognitiveSpace, a company performing R&D in the field of aerospace engineering.
On May 30th, two astronauts, Douglas Hurley and Robert Behnken left for the International Space Station(ISS) onboard the SpaceX’s Falcon-9 rocket.
Back when computers were the size of freight-trucks, they developed one that could fly to and land on the moon. Here we are in the year 2020.
It’s probably not the oldest question ever asked (that would be things like “what is there to eat”, “is there drinkable water”, and “can I eat that, or is it poisonous and will kill me”), but it’s certainly one of the more profound questions.
In May 2015, an explosion with the force of a planet-sized nuclear bomb erupted on the surface of the sun, ejecting hundreds of millions of tons of magnetized particles toward the Earth.
The Starlink satellite constellation is an ambitious project initiated by SpaceX’s CEO Elon Musk to provide high-speed internet anywhere around the globe.
“Eat or get eaten.” — A favorite saying not exclusively among Darwinists and those romanticizing natural law. But is there a galactic food chain, where bigger is stronger and therefore on the surviving end? Let’s move down the bowels of the universe.
Neptune’s moon has surface level activity indicative of organic compounds and sub-surface oceans. Triton is an extremely unique, albeit often forgotten moon.
Has there ever been a place you knew you just had to get to? Maybe you saw it in a movie or on a postcard taped to someone’s fridge; maybe it came to life for you in the pages of a book.