BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:AI Center Seminar - AI4Science Series - Dr. Tomasz Kacprzak
DTSTART:20240612T110000
DTEND:20240612T120000
DTSTAMP:20260416T071232Z
UID:49d8985430bde650e1d807daf93fa18ae4843f4d9ec02c34ac94bc0e
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. Tomasz Kacprzak\nTitle\nA big telescope and a big computer
 : how AI and HPC will enable next breakthroughs in our understanding of th
 e Universe\n\nAbstract\nThe upcoming mega-telescopes\, such as European Sp
 ace Agency’s recently launched Euclid satellite\, and the upcoming radio
  Square Kilometer Array (SKA)\, will provide images of our universe over 1
 0 billion years of cosmic history\, and enable us to study its evolution w
 ith unprecedented level of detail. In the framework of simulations-based i
 nference\, the big telescopes deliver a throve of high-resolution observat
 ions and big computers provide the feature-rich numerical theory predictio
 n. By using AI trained on simulations and performing inference on observat
 ions\, we will be able us to differentiate between complex models of dark 
 matter\, dark energy\, modified gravity\, and astrophysics\; a task unatta
 inable by classical pen-and-paper analysis. This way\, big computers paire
 d with big telescopes will enable next breakthroughs in our understanding 
 of the universe. In this talk\, I will review the current and future appli
 cations of AI and HPC in cosmology in astrophysics\, focusing on areas whe
 re they already play a “game changing" role. I will also present a numbe
 r of yet-unsolved problems in data science\, the solutions to which are cr
 itical for enabling next generation measurements in cosmology.\n\nBio\nTom
 asz Kacprzak is a Senior Data Scientist at the Swiss Data Science Center (
 Hub at the Paul Scherrer Institute) and at the ETH Zurich. He obtained his
  PhD in Physics and Astronomy from the University College London\, as well
  as previously a MSc in Machine Learning from the same university. His foc
 us is on interdisciplinary science in physics and artificial intelligence\
 , in particular on applications of machine learning and high-performance c
 omputing to solve otherwise-untractable problems in physics and cosmology.
  On the cosmology side\, he is involved in the Dark Energy Survey project\
 , the Euclid satellite\, and the Square Kilometer Array. More information:
  https://tomaszkacprzak.github.io/
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420 https://epfl.zoom.us/
 j/64061650015?pwd=M2dYSDBuamJQVDBJTWNKRTlYeTV4UT09
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR