Abstract
After Big Bang matter changed state many times — similarly to ice melting into water,
or the freezing of volcanos’ lava. The contemporary Universe emerged at the end
of all these changes. Physicists have developed methods to
describe these phenomena, which can also recreated in laboratory. Moreover,
their imprinting may also be seen in gravitational waves. Machine Learning (ML) is
on sector of Artificial Intelligence which is routinely used to identify patterns and classify objects, so their application to the analysis of different states of matter is quite natural.
This presentation describes the main features of ML which are useful in the analysis
of the history of the Universe, narrates some salient features of this history and
presents some of the successes of ML in this field together with future challenges.
Maria Paola Lombardo – INFN Firenze
Maria Paola Lombardo is a high energy theorist whose research focusses on strong interactions, phase transitions and computational physics. She graduated from Pisa University, specialised within the APE group in Roma, and has held research positions at INFN, at the University of Illinois at Urbana Champaign and at DESY-Juelich.
