Per capire la portata dei negoziati della COP26 di Glasgow, che entrano ora nella seconda settimana, è necessario riflettere quanto superare la soglie di 1,5°C o di 2°C possa generare punti di non ritorno o meno nel nostro sistema climatico, ma anche quanto i modelli climatici possano aiutare per pianificare azioni di mitigazione e adattamento e, infine, che ruolo hanno le nuove tecnologie in tutto questo. Ne abbiamo parlato con Claudia Tebaldi, statistica al Joint Global Change Research Institute (PNNL), collaboratrice di Climate Central, e autrice principale del primo volume del sesto rapporto IPCC uscito in estate.
Impatti, modelli e tecnologia per capire la COP26 di Glasgow
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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.