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First reactions. Telephone interview, October 2024 “I’m still somewhat in shock” “You have to build up from the bottom.” In this interview shortly after the announcement, John J. Hopfield talks about how he found out about the prize when he was going through his e-mails. ”It didn’t sink in until I got to the fourth e-mail!” From…

John J. Hopfield receiving his Nobel Prize from H.M. King Carl XVI Gustaf of Sweden at Konserthuset Stockholm on 10 December 2024. John J. Hopfield delivering his Nobel Prize lecture in physics on 8 December 2024 at the Aula Magna, Stockholm University. Like many laureates before him, John J. Hopfield signed a chair at the…

First reactions. Telephone interview, October 2024 “How could I be sure it wasn’t a spoof call?” 2024 physics laureate Geoffrey Hinton received the phone call from Stockholm in the early hours in a hotel room in California, and multiple Swedish accents helped reassure him that his Nobel Prize in Physics was real. In this interview…

Announcement of the 2024 Nobel Prize in Physics by Professor Hans Ellegren, Secretary General of the Royal Swedish Academy of Sciences, on 8 October 2024. Interview about the awarded work “They have both been true pioneers: finding new ways to tackle problems” Immediately after the announcement, Professor Anders Irbäck, Member of the Nobel Committee for…

Links to other sites Nobel Prize lessons

Links to other sites Nobel Prize lessons

The Nobel Prize in Physics 2024 This year’s 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 reconstruct information. Geoffrey Hinton invented a method that can independently discover properties in data and which has become important for…

Scientific background Scientific background to the Nobel Prize in Physics 2024:

Swedish 8 oktober 2024 har beslutat utdela Nobelpriset i fysik 2024 till John J. HopfieldPrinceton University, NJ, USA Geoffrey HintonUniversity of Toronto, Kanada ”för grundläggande upptäckter och uppfinningar som möjliggör maskininlärning med artificiella neuronnätverk” De tränade artificiella neuronnät med fysik Årets två Nobelpristagare i fysik har använt sig av fysikens verktyg för att konstruera metoder…