Dec 15th 2022

In this science outreach series, scientists present different scientific topics to the general public in a laid back atmosphere in an art gallery.

The December 2022 event:
Artificial Intelligence Assisted Understanding of the Universe
Presented by Dr. Nesar Ramachandra
Argonne National Laboratory
(full abstract below)

Presentation begins at 8 pm.

Free event!

Exciting science, art and socializing.
Donation bar.
Vegan snacks.

Parlour and Ramp Gallery is at 2130 W. 21st St.
Easily accessible by the pink line (Damen stop) and the Damen Ave. (#50) bus. Some street parking available.

All are invited. Please post the event on your page and invite others.

We hope you will join us!

If you are not already a member, you are invited to join the Art of Science group and be invited to future events.


Artificial Intelligence Assisted Understanding of the Universe

Astronomers have cataloged millions of stars and galaxies during the last few decades by surveying the sky across different wavelengths of light. In the near future, astronomical data volumes will reach unprecedented levels due to upcoming telescope surveys. Artificial intelligence (AI) enables not only automated studies of these large datasets, but also promises data-driven explorations of fundamental physical principles.

A subset of these crucial topics will be discussed in this presentation, with an emphasis on the relevance of AI in modern scientific studies and the profound impact it may have on research methods. The presentation will explore the estimations of the contents of the Universe, identification of rare astrophysical phenomena, and other key examples at the intersection of cosmology and scientific machine learning.


Nesar Ramachandra is a Computational Scientist at the Argonne National Laboratory. His research focuses on utilizing machine learning and statistical methods in scientific analysis. Nesar’s scientific interests include understanding the nature of dark matter and dark energy, estimations of galactic distances, and identifying rare astronomical objects. He is also working on engineering optimization problems in aerostructure manufacturing and climate prediction models using AI modeling.


Image credit: Frontiere et al., ApJS


Official Website

More events on this date

Tags: , , , , ,