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The progress of Artificial Intelligence in recent years has substantially influenced all fields of science. In high energy particle physics experiments, since data collection and analysis are fundamental, the use of AI has demonstrated to yield improved results, e.g. the automatic collection of physics interesting data within the detector and intelligent discrimination between noise and signal data at analysis level.In this seminar I will talk about the status and previous efforts to exploit Artificial Intelligence techniques aimed to improve observations within the Belle-II experiment, which is expected to be at the precision frontier and be competitive with other high energy experiments worldwide. In particular I will focus on the task of data classification and propose improvement through the so-called support vector machine algorithm.
Online: https://speakapp.link/to/Lg0NxQ