fbpx Milano-Bicocca keep on rising in University Ranking THE | Page 9 | Science in the net

Milano-Bicocca keep on rising in University Ranking THE

Read time: 6 mins

 

 

 

 

 

 

 

 

UKSpain FranceGermanyItaly
Lancaster UniversityPompeu Fabra UniversityUniversité Paris-SudUniversität UlmMilano - Bicocca
University of WarwickAutonomous University of BarcelonaUniversité Pierre et Marie CurieUniversität KonstanzRoma III
University of EssexAutonomous University of MadridUniversité Paris Diderot – Paris 7Universität Bayreuth 
Brunel UniversityUniversity of Rovira i VirgiliUniversité Montpellier 2Universität Bielefeld 
University of BathUniversity of VigoUniversité Claude Bernard Lyon 1Ruhr-Universität Bochum 
Plymouth UniversityPolytechnic University of ValenciaUniversité Paris DauphineUniversität Duisburg-Essen 
Heriot-Watt UniversityPolytechnic University of Catalonia   
University of Hertfordshire    
University of Surrey    
Loughborough University    
University of Strathclyde    
University of Kent    
Aston University    
Autori: 
Sezioni: 

prossimo articolo

Why have neural networks won the Nobel Prizes in Physics and Chemistry?

This year, Artificial Intelligence played a leading role in the Nobel Prizes for Physics and Chemistry. More specifically, it would be better to say machine learning and neural networks, thanks to whose development we now have systems ranging from image recognition to generative AI like Chat-GPT. In this article, Chiara Sabelli tells the story of the research that led physicist and biologist John J. Hopfield and computer scientist and neuroscientist Geoffrey Hinton to lay the foundations of current machine learning.

Image modified from the article "Biohybrid and Bioinspired Magnetic Microswimmers" https://onlinelibrary.wiley.com/doi/epdf/10.1002/smll.201704374

The 2024 Nobel Prize in Physics was awarded to John J. Hopfield, an American physicist and biologist from Princeton University, and to Geoffrey Hinton, a British computer scientist and neuroscientist from the University of Toronto, for utilizing tools from statistical physics in the development of methods underlying today's powerful machine learning technologies.