Leading Enabling Technologies for Societal Challenges

Pubblicato il 03/04/2014Read time: 1 min

The LET’S 2014 Conference will bring together 1000 delegates from private and public research, SMEs, industry and policy in the fields of nanotechnology, biotechnology, advanced materials, manufacturing and processing.

The event will provide valuable opportunities to network, find new partners and collaborations, and keep up-to-date with the cutting-edge research, industrial news and innovation in Europe and beyond.

The main focus of the event is exploring the role of the Key Enabling Technologies in facing the Societal Challenges pinpointed by Horizon 2020.

Together with more than 100 speakers following five thematic tracks, we will explore innovative, cross-cutting points of view at the forefront of European research and technology and will create a vision for a new European Renaissance.

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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.