“Breaking Barriers in AI: Emilia Gómez’s Musical Journey into the EU’s Influential Tech Sector”
Gómez’s research is grounded in the computational music field, where she contributes to the understanding of the way humans describe music and the methods in which it’s modeled digitally.
What I liked at the time from machine learning was its modelling capabilities and the shift from knowledge-driven to data-driven algorithm design — e.g.
There’s also PHENICX, a large European Union (EU)-funded project I coordinated on the use of music; and AI to create enriched symphonic music experiences.
What advice would you give to women seeking to enter the AI field?
They should learn about the working principles and limitations of AI algorithms to be able to challenge them and use them in a responsible way.
