AI for Fundamental Research
Keywords: machine learning, artificial intelligence, neural networks, particle physics, real-world AI applications, science communication
The successful AI & Particle Physics course returns to Discover—this time with an even stronger focus on artificial intelligence and neural networks! While we will still explore some of the fundamental mysteries of the universe, our primary goal is to understand how AI can help scientists solve problems in physics and beyond.
Machine learning has transformed industries, from medicine to finance to art—but did you know it’s also revolutionizing scientific research? AI is now a crucial tool for analyzing experimental data, recognizing patterns in particle detectors, and even simulating the behavior of fundamental particles. In fact, the 2024 Nobel Prize in Physics recognized the groundbreaking contributions of AI to science, highlighting just how essential neural networks have become in modern research.
In this course, you’ll build and train your own neural network, explore how machine learning techniques apply to physics, and experiment with real-world AI tools used in scientific research. Finally, you’ll also sharpen soft skills critical for any scientist, such as communicating complex discoveries to the public and media.
Class 1: Introduction to Machine Learning – What is AI and why does it matter?
Class 2: Neural Networks & Deep Learning – Understanding the core technology
Class 3: AI in Science – Using machine learning to solve problems in physics
Class 4: Hands-on Project – Train your own neural network to classify particles
Class 5: Communicating Science – How to present discoveries effectively
Requirements: Basics of high school physics and mathematics (recommended), laptop (optional), curiosity (essential)

Oliver Matonoha
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