Using Machine Learning to Make A Really Big Detailed Simulation
In today’s astrobite, we examine an application of machine learning in astronomy that may enable new breakthroughs in simulations of large scale structure.
Equitable access in an increasingly computational world
As physics/astronomy become increasingly computational, training and infrastructure have struggled to keep pace. In today’s bite we discuss these issues and a new company, Camber, working to streamline research and democratize high performance computing!
Anomaly Detection and Classification of Astronomical Objects in the Era of Machine Learning
Guest author Torsha Majumder takes us through some of the many applications for machine learning in astronomy.
Machine Learning for Astronomy: Galaxy Spectra going to the Gym
Today’s bite explores new machine learning techniques applied to understand the properties of galaxies based on their spectra.
Meet the AAS Keynote Speakers: Dr. Kerstin Perez
Today we interview Dr. Kerstin Perez, who is the Lavine Family Associate Professor of the Natural Sciences in the Department of Physics at Columbia University for her Plenary Lecture at #AAS244!
Meet the AAS Keynote Speakers: Dr. Cecilia Garraffo
Today we interview Dr. Cecilia Garraffo, director of AstroAI at the Harvard/Smithsonian Center for Astrophysics for her Plenary Lecture at #AAS244!