According to the article by Thomas Macaulay, scientists at University of Hawaii’s Mānoa Institute for Astronomy (IfA) created the largest 3D map in the world of the universe.

How did they do this?

The article states, “They trained an algorithm to identify celestial objects in the survey by feeding it spectroscopic measurements that provide definitive object classifications and distances.” 

“Utilizing a state-of-the-art optimization algorithm, we leveraged the spectroscopic training set of almost 4 million light sources to teach the neural network to predict source types and galaxy distances, while at the same time correcting for light extinction by dust in the Milky Way,” said lead study author Robert Beck.

Opsani operates in a similar way.

It is interesting how the technology used to map out the stars is similar to the technology used by Opsani. Opsani also uses a neural network to modify certain settings for your application that can affect performance. We then monitor the performance of the application. This data is then fed back in the neural network to see how the application performs. 

Like the scientists who created the map of the stars, Opsani also uses predictive technology to determine the best configurations for applications. 

AI breaking barriers.

 AI enables users to produce results that would otherwise take months or even years. AI can be verified for accuracy, so users know the results are correct.

The article states, “This enabled the neural network to achieve a classification accuracy of 98.1% for galaxies, 97.8% for stars, and 96.6% for quasars.”

 Many people have mixed feelings about AI, opinions aside, AI has enables us to accomplish tasks not humanly possible. It would be interesting to compare human accuracy of the development of past maps of the universe to AI. Can human accuracy even compare?

Opsani is not the only enterprise who believes in the capabilities of AI. AI is becoming more mainstream and accepted. AI is used in various fields to produce fast results and reduce human error.

Check out our last blog post Algorithms In Medicine Only Include Three States for more news!