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Summer school in Generative and Explainable AI in Pisa:
In recent years, Generative AI, has achieved significant success in various domains such as vision, language, and finance. Additionally, there is a growing interest for translating these theoretical advancements into products capable of addressing real-world problems. This course aims to equip participants with the latest knowledge and skills in generative and explainable AI. We will bring together some of the world’s leading researchers from both academia and industry covering the latest advancements and the current state-of-the-art in these fields. Therefore, in this school, we plan to provide participants with upskilling in the latest developments in generative AI - theory and products. Students will get a solid understanding of the intersection between ML technology and applications. They will be able to chase after and lead the development of innovative, responsible ML solutions in finance and computer vision.
The course will have two types of lectures:
90-120min lectures on generative AI and XAI fundamentals
30-45min lectures on applied generative AI, building generative-AI products, demo of the XAI library, and Concept Bottleneck Models
All lectures will have dynamic Q&A sessions at the end of day, and are suitable for audience in research, engineering and product.
Speakers
Eleni Verteouri - AI Tech Lead at UBS Zurich
Eleni Verteouri is an AI Tech Lead and Director at UBS with over a decade of impactful work in model development. As an AI guest lecturer at ETH Zurich and ZHAW School of Management and Law, and a mentor at the Tenity Startup Incubator, Eleni has made significant contributions to shaping modern financial technologies. Her achievements have been recognized with the Forbes Cyprus 20 Women in Tech Award 2024. She holds a Master of Science in Quantitative Finance from ETH Zurich and a Master of Engineering in Electrical and Computer Engineering from the University of Patras.
Dr. Ricardo Silveira Cabral - Engineering Director in GenAI at META Zurich * (to be confirmed)
Dr. Ricardo Silveira Cabral is currently the Engineering Director in Generative AI (GenAI) at Meta's Zurich office. Experienced Engineering Manager with a demonstrated history of working in the consumer electronics industry, with a focus in Computer Vision, Machine Learning, Research and Development (R&D), Robotics.
Dr. Cabral's educational background includes a Ph.D. in Computer Science, specializing in artificial intelligence and machine learning. His academic career has been marked by numerous publications in reputable journals and conferences, highlighting his contributions to the field.
Dr. Francesco Giannini - Researcher at Scuola Normale Superiore
Francesco is a Research Fellow at the Scuola Normale Superiore in Pisa, Italy, where I am part of the Knowledge Discovery and Data Mining Laboratory (KDD Lab), mostly involved in the FAIR – Future Artificial Intelligence Research - research project. He was a researcher at the CINI (Consorzio Interuniversitario Nazionale per l’Informatica) on the European project TAILOR - Foundations of Trustworthy AI, Integrating Reasoning, Learning and Optimization. He obtained my PhD at the University of Siena, Italy, being part of the Siena Artificial Intelligence Laboratory (SAILab) in 2019 under the supervision of Prof. Marco Maggini and Prof. Marco Gori. I obtained both the Bachelor and Master degrees in Mathematical Logic at the University of Siena, Italy.
His research interests mainly focus on methodologies to integrate Mathematical Logic theories and Machine Learning techniques. In particular, he is interested in Neural-Symbolic approaches.
Dr. Roberto Pellungrini - Researcher at Scuola Normale Superiore
Roberto Pellungrini is a Researcher at Scuola Normale Superiore and a member of the KDD Lab, a joint research initiative of ISTI Institute of CNR, the Department of Computer Science of the University of Pisa and Scuola Normale Superiore. He earned his PhD in Computer Science at The University of Pisa in 2020 with a thesis on Data Privacy.
He then moved to Scuola Normale Suoperiore, where his current research interests are Explainability, Data Mining, and Hybrid Decision Making Systems.
more speakers to be announced
Registration
The registration is open to all students and practitioners in the field. To get registered please fill in the application form and pay the respective registration fee. The conference fee includes coffee breaks.
To register, please follow this link: https://forms.gle/aDPAiphFei4qEfqj7
Registration deadline: 06/09/2024
Organisers
Andrea Agazzi- Università di Pisa
Katerina Papagiannouli- Università di Pisa
Marco Romito- Università di Pisa
Fosca Giannotti- Scuola Normale Superiore
Roberto Pellungrini - Scuola Normale Superiore
Francesco Giannini - Scuola Normale Superiore
Sponsors
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