mercredi 23 avril 2025

par Pierre ALFARROBA

A FORUM NUMERICA seminar by Marco GORI,
Full professor of computer science at the University of Siena  and Head of SAILab (Siena Artificial Intelligence Lab).

Where : Campus SophiaTech, Templiers, room F222 and online on Zoom.
 

Abstract :
AI is revolutionizing not only the entire field of Computer Science, but nearly all fields of Science. However, while application contexts explode and LLMs display embarrassing cognitive qualities, the entire AI research field seems headed toward saturation of the fundamental ideas that have enabled today’s spectacular results of large companies. Is the infamous “AI winter” perhaps creeping into research? In this talk I argue that the time is ripe for a fundamental rethinking of AI methodologies with the purpose to migrate intelligence from the cloud to the growing global population of devices with on-board CPUs.

To support learning schemes inspired by mechanisms found in nature, I propose developing intelligent systems within NARNIAN, a platform that enables social mechanisms and fosters learning processes over time, without the need for data storage.

About the speaker :

Marco Gori received the Ph.D. degree in 1990 from Università di Bologna, Italy, working partly at the School of Computer Science (McGill University, Montreal). He is currently full professor of computer science at the University of Siena, where he is leading the Siena Artificial Intelligence Lab. He is mostly interested in Machine Learning with emphasis on Neural Computation. Since, the end of 2019, He has also been collaborating with the Interdisciplinary Institutes for Artificial Intelligence, 3IA Côte d’Azur.

The impact of his research on neural networks emerged mainly from the growing interest in Graph Neural Networks. He introduced the first ideas in the paper “A New Model for Learning in Graph Domains”, by M. Gori, M. Monfardini and F. Scarselli (IJCNN2005) where the keyword Graph Neural Network was coined. A few years later, an extended paper “GraphNeural Networks,” IEEE-TNN, 2009 provided a more robust analysis and an accurate experimental evaluation. To date, the paper has received more than 10,000 citations (about 6-7 citations/dayin the last months).

Professor Gori has been the chair of the Italian Chapter of the IEEE Computation Intelligence Society and the President of the Italian Association for Artificial Intelligence. He is a Fellow of IEEE, EurAI, IAPR, and ELLIS.

FORUM NUMERICA is funded by the Academy of Excellence “Networks, Information and Digital Society” of Université Côte d'Azur Initiative of Excellence