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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 and the SWGO experiments. He is the president of the Read More »

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Since 2022, when I got invited for a keynote talk at a Deep Learning school, I have been visiting with increasing frequency the northern Sweden town of Lulea, and its Technology University (LTU). In 2023 I spent three months there, invited by Marcus Liwicki and Fredrik Sandin to join the Machine Learning group for some studies of neuromorphic computing applications to particle detectors. Then toward the end of 2023 they were able to secure funding to invite me as a WASP Guest Professor. I thus spent at LTU some four months in 2024, but this year I have spent there over 6 months, as the research collaboration with the computer scientists of LTU has become more intensive. 
Nowadays researchers and scholars of all ages and specialization find themselves struggling with mailboxes pestered with invitations to conferences, invitations to submit papers to journals, invitations to participate in the editorial board of journals, invitations to receive prizes for this or that reason; and of course, 99% of the origin of these invitations are individuals running fake conferences, scam, or predatory journals. Spam filters are not extremely good at distinguishing good and bad invitations, so if one wants to avoid discarding prestigious opportunities the only option is a painful manual screening.
The 10th congress of the USERN organization was held on November 8-10 in Campinas, Brazil. Some time has gone by, so it is due time for me to report on the event. I could not attend in person for a cause of force majeure, but I was connected via zoom, and I also delivered two recorded speeches plus one talk in one of the parallel "virtual session" that were run via zoom in the evenings (CET) after the in-person program of the day was over. 
I am moving some baby steps in the direction of Reinforcement Learning (RL) these days. In machine learning, RL is a well-established and very promising avenue for the development of artificial intelligence, and the field is in rapid development. Unfortunately I have been left behind, as I never really needed to fiddle with those techniques for my research. Until recently.
Truth is under attack. It has always been, of course, because truth has always been a mortal enemy for those who attempt to seize or keep power in their hands. But the amplification of the phenomenon by today's information technology is extremely worrisome. AI today can generate fake videos and images that even experts have trouble flagging as such. This, combined with the different news value and propagation potential of false information with respect to typically less attention-grabbing true facts has created an explosive situation. What to do?
Today is November 1st, the day dedicated to the dead, and I am in northern Sweden where daylight is scarce this time of the year. The two things conjure to arise thoughts of a darkish nature. 


[Above, a lousy picture taken this evening in a cemetery in Gammelstad, close to Lulea, in Norrbotten, Sweden. Sorry for the bad quality... Yet the landscape with all those small lights was really inspiring.]