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Galileo Galilei Institute (GGI)
Jet Physics in Ultra-Relativistic Collisions - Lecture I

Explore jet physics fundamentals in ultra-relativistic particle collisions through advanced theoretical frameworks and experimental observations.
- YouTube
- 1 hour 46 minutes
- On-Demand
- Free Video
Galileo Galilei Institute (GGI)
Jet Physics in Ultra-Relativistic Collisions - Lecture III

Explore advanced jet physics phenomena in ultra-relativistic particle collisions through detailed theoretical frameworks and experimental observations.
- YouTube
- 1 hour 29 minutes
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- Free Video
Galileo Galilei Institute (GGI)
Jet Physics in Ultra-Relativistic Collisions - Lecture II

Dive into advanced jet physics concepts in ultra-relativistic particle collisions through detailed theoretical analysis and experimental insights.
- YouTube
- 1 hour 32 minutes
- On-Demand
- Free Video
International Centre for Theoretical Sciences
Statistical Methods and Machine Learning in High Energy Physics - 2023

Explore advanced statistical methods and machine learning techniques for analyzing high energy physics data, including neural networks, anomaly detection, and simulation-based inference.
- YouTube
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Databricks
Deep Learning Pipelines for High Energy Physics Using Apache Spark and Distributed Keras

Explore CERN's Apache Spark-based data pipeline for deep learning in High Energy Physics. Learn about distributed training of neural network classifiers using BigDL and Analytics Zoo for improved event filtering at LHC experiments.
- YouTube
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PyCon US
Python in High Energy Physics

Explore Python's growing role in High Energy Physics, from its adoption and key libraries to its impact on data analysis and machine learning in particle physics research.
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International Centre for Theoretical Sciences
Introduction of BDT and Neural Networks for Classification in High Energy Physics - Lecture 2

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International Centre for Theoretical Sciences
Generative Models Application in High Energy Physics

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Generative Models in High Energy Physics

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Alan Turing Institute
Machine Learning in Theoretical and Experimental High Energy Physics

Explore machine learning's impact on high energy physics, from data analysis to theoretical advancements, and its role in the search for new physics discoveries.
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Physics Motivation for Future High Energy Colliders - ICBS 2024

Explore the physics motivation for future high-energy colliders, examining unanswered questions in particle physics and the need for new discoveries beyond the Standard Model.
- YouTube
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Galileo Galilei Institute
Introduction to Quantum Information for High Energy Physics - Lecture 3

Explore quantum information fundamentals and applications in high-energy physics, delving into advanced concepts and their relevance to particle research.
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The Julia Programming Language
UnROOT.jl - Data I/O for High-Energy Physics in Julia

Explore UnROOT.jl, a Julia package for high-performance data I/O in high-energy physics. Learn about its optimizations, type stability challenges, and performance comparisons with popular alternatives.
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Explore fundamental physics and cosmology through high-energy cosmic particles, delving into cutting-edge research and its implications for our understanding of the universe.
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