#keynote: Valentina Presutti to dive into AI applications in relation to knowledge graphs at ICAART 2023
Polifonia’s project leader Valentina Presutti (University of Bologna) is one of the 4 keynote speakers at the upcoming edition of ICAART 2023.
Polifonia’s project leader Valentina Presutti (University of Bologna) is one of the 4 keynote speakers at the upcoming edition of ICAART 2023.
On Friday 24 February, Presutti will share insights into AI application in relation to knowledge representation. Despite the ethical and social issues, AI applications in the creative domains (e.g., generative AI, music recommendation systems), in educational contexts, in supporting the human creative process, in musicological or historical research, have reached impressive performances. Presutti will build on this positive development without losing sight of existing issues and supports her position by presenting examples from the Polifonia research project. In Polifonia, large knowledge graphs of musical heritage are created and experimentations with applications that benefit from them plays a major role.
The keynote speech takes place in Lisbon Marriott Hotel (Portugal) from 17:30 – 18:30 CET and can be followed through Zoom. Find the conference timetable here.
About ICAART 2023
The purpose of the International Conference on Agents and Artificial Intelligence is to bring together researchers, engineers and practitioners interested in the theory and applications in the areas of Agents and Artificial Intelligence. Two simultaneous related tracks will be held, covering both applications and current research work. One track focuses on Agents, Multi-Agent Systems and Software Platforms, Distributed Problem Solving and Distributed AI in general. The other track focuses mainly on Artificial Intelligence, Knowledge Representation, Planning, Learning, Scheduling, Perception Reactive AI Systems, and Evolutionary Computing and other topics related to Intelligent Systems and Computational Intelligence.
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This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement N. 101004746