YoVDO

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

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent