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Tommaso DorigoRSS Feed of this column.

Tommaso Dorigo is an experimental particle physicist, who works for the INFN at the University of Padova, and collaborates with the CMS experiment at the CERN LHC. He coordinates the European network... Read More »

Old timers of this blog will recall that I am an avid stone collector. In fact, of all experimental sciences I am fond of (Physics, Astronomy, Geology above others) Geology is the one that fascinated me first, as a six or seven year old child. We are talking about almost fifty years ago, when newspaper stands in Italy used to sell small packets containing pictures of soccer players (they were not even adhesive back then: you had to use your own glue to attach them in the proper place within collection albums which were sold separately) . Kids collected those "figurine", and exchanged them with their peer after school hours (or even during school hours). Other collections offered were ones of minerals, fossils, stickers, etcetera.
Do you remember the DAMA-LIBRA experiment? It is a underground detector made of sodium iodide crystals buried under the rock of the Gran Sasso mountain in central Italy, which took data for over a decade in the search of the elusive signal that slowly-moving, massive particles would produce when they bounced off atoms of the active detector material. 
A long time ago, before starting the studies which would lead to a career as a particle physicist, I studied music. After getting a degree as a master in Antique Instruments, I studied composition for four years. But I was not particularly well versed in that tough discipline, and I did the right thing in dropping out. I was 18, and I decided that Science was going to be my job, not music. But I kept an interest in music and I continued - a bit erratically - to study the piano.
The title of this post is the same of a non-technical presentation I gave today at the 2021 USERN Congress. The USERN (Universal Scientific and Education Research Network) is an organization fostering the diffusion of science, which provides prizes to researchers who distinguish themselves for their scientific advancements, and strives for science across borders. As a member of its advisory board I was invited to give a presentation in the first session of the virtual congress, which deals with human versus artificial intelligence.
In the next few days I have a busy schedule with a few lectures gravitating around the use of deep learning technologies for fundamental physics research. This is of course no news, but I thought that my blog is the proper place to list a few pointers, in case some of you is interested in following one or two of these events. After all, deep learning is all the rage these days, and even if fundamental physics is not your bread and butter, you may hopefully find useful inspiration in the kind of use cases that field provides for cutting edge applications of artificial intelligence.
This past Thursday I held a public lecture, together with my long-time friend Ivan Bianchi, on the topic of Art and Artificial Intelligence. The event was organized by the "Galileo Festival" in Padova, for the Week of Innovation.
Ivan is a professor of Contemporary Art at the University of Padova. We have known each other since we were two year olds, as our mothers were friends. We took very different career paths but we both ended up in academic and research jobs in Padova, and we have been able to take part together in several events where art and science are at the focus. Giving a lecture together is twice as fun!