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AI for Collective Neutrino Oscillations: From Detection of FFCs to Prediction of the Asymptotic

Offered By: Galileo Galilei Institute via YouTube

Tags

Neutrino Oscillations Courses Artificial Intelligence Courses Data Analysis Courses Machine Learning Courses Neural Networks Courses Astrophysics Courses Particle Physics Courses Computational Physics Courses

Course Description

Overview

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Explore cutting-edge applications of artificial intelligence in the field of collective neutrino oscillations through this 35-minute conference talk delivered by S. Abbar at the Galileo Galilei Institute. Delve into the innovative use of AI techniques for detecting Fast Flavor Conversions (FFCs) and predicting asymptotic behaviors in neutrino physics. Gain insights into how machine learning algorithms are revolutionizing our understanding of complex neutrino interactions and their implications for astrophysics and particle physics. Learn about the latest advancements in computational methods that are enhancing our ability to analyze and interpret neutrino oscillation data, potentially leading to new discoveries in fundamental physics.

Syllabus

S. Abbar: "AI for Collective Neutrino Oscillations: From Detection of FFCs to Prediction ..."


Taught by

Galileo Galilei Institute

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