PAV-IA

What is PAV-IA?

Pav-IA goes beyond hosting informal talks on specific AI topics. We explore the breadth and depth of AI applications and implementations, encouraging cross-disciplinary collaboration and constructive discussions. We welcome both established researchers to share their expertise, as well as emerging researchers embarking on their AI journeys.

How it works:

Presentations: Participants will present their research topic or an article related to Artificial Intelligence, using their preferred presentation method (e.g., Backboard, slides, etc.).

Schedule: Bi-weekly on Tuesday, from 13:00 to 14:00. Talks can range from 20 to 45 minutes.
Registration: To attend the seminars, please compile this form.

Interested in giving a talk?

Don't hesitate to contact the organizers Luca Pellegrini, Massimiliano Ghiotto.

Next Seminar

Inaugural workshop - Breakthroughs in Operator Learning for Partial Differential Equations 2025

In recent years, the combination of deep learning techniques and numerical methods has gained increasing interest as a research area in applied mathematics, especially in the approximation of PDEs. One promising paradigm that has emerged is operator learning. These innovative methodologies are crucial since traditional numerical methods face significant challenges with complex, high-dimensional PDEs that make them unfeasible for real-time simulation in real-world applications.

The goal of this workshop is to bring together researchers and practitioners who are currently working on this cutting-edge topic, fostering collaboration and knowledge exchange in this rapidly evolving field.

The registration is free of charge but it is mandatory on the workshop website.

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