© Johan Jarnestad/The Royal Swedish Academy of Sciences

Nobel Prize lessons – Discoveries behind AI

The 2024 physics laureates used tools from physics to construct methods that helped lay the foundation for today’s powerful machine learning. John Hopfield created a structure that can store and recreate information. Geoffrey Hinton invented a method that can autonomously find properties in data.

This is a ready to use Nobel Prize lesson on the 2024 Nobel Prize in Physics. The lesson is designed to take 45 minutes and includes a slideshow with a speaker’s manuscript, a video and a student assignment.

1. Show an introduction (1 minute)

2. Show the slideshow (15 min)

Show the slides, using the speaker’s manuscript.

Slideshow (PDF 4,7 MB)

Speaker’s Manuscript (PDF 200 kB)

3. Show the interview  (5 min)

4. Student assignment (15 min)

Let the students work with the assignment.

Student assignment (PDF 70 kB)

5. Conclusion (10 min)

Summarise the work with the assignment and capture any questions from the students.

Press release for the 2024 Nobel Prize in Physics

Popular information for the 2024 Nobel Prize in Physics

A Swedish version of the lesson is available at nobelprizemuseum.se

More about the Nobel Prize and its founder in the lesson “Alfred Nobel and the Nobel Prize”


To cite this section
MLA style: Nobel Prize lessons – Discoveries behind AI. NobelPrize.org. Nobel Prize Outreach AB 2024. Thu. 21 Nov 2024. <https://www.nobelprize.org/nobel-prize-lessons-physics-2024/>