# INVITED TALK: Accelerating Discovery in Particle Physics with AI

- Institution: CERN
- Department: QTI other events or meetings
- Speaker: Jennifer Ngadiuba
- Year: 2023
- Language: English
- Subjects: Physics, Computer science
- Source: [CERN](https://videos.cern.ch/record/3017240)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

The quest to understand the fundamental constituents of the universe is at the heart of particle physics. However, the complexity of particle interactions, the volume of data produced by experiments, and the intricacy of theoretical models present significant challenges to advancements in this field. In recent years, artificial intelligence has emerged as a transformative tool for overcoming these challenges, offering new pathways to accelerate the pace of discovery and fostering a deeper understanding of the fundamental forces of nature. This talk aims to elucidate the pivotal role AI plays in particle physics, from optimizing detector design and operation to analyzing vast datasets and validating theoretical models..

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## Lectures

1. [INVITED TALK: Accelerating Discovery in Particle Physics with AI](https://invisiblenetwork.ai/learn/cern/3017240/95eb21b83738), 45 min (CERN's player)