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BIP Language Models and Knowledge Graphs
Cagliari, July 16-23 2024
The Blended Intensive Programme (BIP) Language Models and Knowledge Graphs is an advanced course aiming to provide a solid understanding of machine learning and deep learning fundamentals and delve into advanced language models and knowledge graphs. Students will gain practical skills in implementing sophisticated language models and utilizing knowledge graphs to solve complex problems in NLP, AI, and data science fields. The goal is to offer hands-on experience through guided exercises and assessments, consolidating acquired skills and preparing participants to effectively apply these cutting-edge technologies in real-world applications. The course consists of 30 hours in presence and 12 hours in remote.
Program:
The program is available here (last update: July 17 2024).Organizing committee
This BIP is organized by the Università degli Studi di Cagliari (Italy):
Livio Pompianu, Principal Investigator and organizer, Università degli Studi di Cagliari (Italy)
Diego Reforgiato Recupero, Co-organizer, Università degli Studi di Cagliari (Italy)
Alessandro Sebastian Podda, Co-organizer, Università degli Studi di Cagliari (Italy)
Davide Buscaldi, Instructor, Universite Sorbonne Paris Nord (France)
Mehwish Alam, Instructor, Telecom Paris Institut Polytechnique de Paris (France)
Gheorghe Cosmin Silaghi, Instructor, Universitatea Babeș-Bolyai (Romania)
Ana-Maria Ghiran, Instructor, Universitatea Babeș-Bolyai (Romania)
Local Event Assistants
Alessandro Giuliani, Università degli Studi di Cagliari (Italy)
Marco Manolo Manca, Università degli Studi di Cagliari (Italy)
Leonardo Piano, Università degli Studi di Cagliari (Italy)
Alessia Pisu, Università degli Studi di Cagliari (Italy)
Sandro Gabriele Tiddia, Università degli Studi di Cagliari (Italy)
Number of credits, dates, and venue
The residential part of the course (2 credits - 30 h) will be held from July 16 to 20, 2024 at Palazzo delle Scienze, Via Ospedale, 72 - 09124 in Cagliari, Sardinia (Italy). The online part (1 credit - 12 h) will be held from July 22 to 23, 2024 .
