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Pubblicato il 12/02/2014Read time: 1 min

On Tuesday 18h February, at Assaggi bookstore in Rome, the science café "Migrant researchers" will be held.

Travelling and changing the place where to work is part of the life of a researcher. Which are the most favourite destinations and why? When such a mobility exceeds a certain amount of time, it becomes migration. Our country almost exclusively deals with exiting flows and whilst our researchers may reach high level positions in other countries, in our research centers it is difficult to see scientists from abroad. Mobility must be forerun, accompanied and followed by well defined political plans. What are the research policies in Italy, in Europe and in the rest of the world? And what about the returns in terms of innovation and, more generally, of social wealth?

These topics will be debated with Sveva Avveduto, sociologist, and Maria Carolina Brandi, geographer.

Question time with Pietro Greco, science journalist.

The event will be transmitted in live streaming on Scienceonthenet and on the Forma Scienza YouTube channel.

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prossimo articolo

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

di Chiara Sabelli

Pubblicato il 15/10/2024

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

Physics

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.