Konwersatorium im. J.Pniewskiego i L.Infelda

The maniche learning (ML) is one of fastest growing disciplines on the border between science and industry. The number of ML related articles on arXiv follows closely the Moore's law [1].  A large part  of the progress (we are aware of)  happens  in private corporations, outside academia -  ask yourself who invented ChatGPT [2], Gemini, the product recommendation system of a huge selling company with a name starting on A, etc. It seems that the Nobel Committee has acknowledged the importance of machine learning, and awarded the 2024 Prize in Physics "for foundational discoveries and inventions that enable machine learning with artificial neural networks” [3], and Prize in Chemistry for "Computational Protein Design and Protein Structure Prediction" - a machine learning based model predicting protein shapes [4]. In my lecture I will present the connection between machine learning and physics, and give a random overview of application of ML methods in physics.

[1] M. Krenn, L. Buffoni, B. Coutinho, et al., arXiv: 2210.00881 [arxiv.org] [cs.AI]

[2] A. Radford, K. Narasimhan, et al.,   https://cdn.openai.com/research-covers/language-unsupervised/language_understanding_paper.pdf [cdn.openai.com]
(no formal citation exists for this breakthrough paper)

[3] Nobel Prize Outreach 2025. Wed. 14 May 2025,  https://www.nobelprize.org/prizes/physics/2024/advanced-information [www.nobelprize.org]

[4] Nobel Prize Outreach 2025. Wed. 14 May 2025, https://www.nobelprize.org/priz [www.nobelprize.org]

Pobierz plakat / Download the poster
Pobierz slajdy / Download the slides