FROM QUARKS TO COSMOS WITH AI - CMU

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FROM QUARKS TO COSMOS WITH AI NSF AI PLANNING INSTITUTE FOR DATA-DRIVEN DISCOVERY IN PHYSICS A VIRTUAL CONFERENCE July 12 - 16, 2021 Featuring Katie Bouman Caltech Kyle Cranmer New York University Tommaso Dorigo INFN-Padova Francois Lanusse CEA Saclay Jennifer Ngadiuba Fermilab Brian Nord Fermilab Harrison Prosper Florida State University Aarti Singh CMU Machine Learning Ben Wandelt Sorbonne/Flatiron ...and more to come! With two plenary talks and a hack-a-thon each day on data challenges of interest to individuals in high energy physics, astrophysics, and AI/ML methodology, the conference schedule is designed to promote engagement, learning, and the formation of new collaborations. Register now: https://forms.gle/6CyCBpEEM1vR2xnS6

Transcript of FROM QUARKS TO COSMOS WITH AI - CMU

Page 1: FROM QUARKS TO COSMOS WITH AI - CMU

FROM QUARKS TO COSMOS WITH AINSF AI PLANNING INSTITUTE FOR DATA-DRIVEN DISCOVERY IN PHYSICS

A VIRTUAL CONFERENCE

July 12 - 16, 2021Featuring

Katie BoumanCaltech

Kyle CranmerNew York University

Tommaso DorigoINFN-Padova

Francois LanusseCEA Saclay

Jennifer NgadiubaFermilab

Brian NordFermilab

Harrison ProsperFlorida State University

Aarti SinghCMU Machine Learning

Ben WandeltSorbonne/Flatiron

...and more to come!

With two plenary talks and a hack-a-thon each day on data challenges of interest to individuals in high energy physics, astrophysics, and AI/ML methodology, the conference schedule is designed to promote engagement, learning, and the formation of new collaborations.

Register now:

https://forms.gle/6CyCBpEEM1vR2xnS6