Keywords: particle physics, (un)resolved mysteries of the Universe, machine learning, artificial neural networks, soft skills in science

The successful course in Particle Physics returns to Discover again – but this year with a facelift. Apart from learning the basics of this most fundamental natural science – and answering what is our reality made out of – we will now also dive into the field of Artificial Neural Networks. Technologies using AI, including this one, have been appreciating an enormous success lately, but apart from digital art creation and facial recognition, they’re also used abundantly in natural sciences. In this course, you will build and train a neural network algorithm that will help you discover a new elementary particle, a feat worthy of a Nobel Prize. Finally, we will focus on some key soft skills of a modern-day physicist – you will communicate your scientific result to the media and the general public.

— Class 1: What are the smallest building blocks of the Universe?
— Class 2: Understanding and going beyond the Standard Model
— Class 3: Solving the Universe’s biggest (un)resolved mysteries
— Class 4: What is Machine Learning?
— Class 5: Programme your own neural network and make a discovery
— Class 6: Talking with the journalists

Requirements: basics of high school physics and mathematics (recommended), laptop (optional), curiosity (essential)