Professor of AI at Oxford Brookes University to detail Epistemic Artificial Intelligence at Worldwide AI Webinar
While artificial intelligence (AI) has advanced at a breakneck pace in recent years, its inability to deal with uncertainty limits its potential applications. Traditional AI appears unable to make robust predictions, preventing even cutting-edge AI from operating in novel situations.
Professor Fabio Cuzzolin's major venture, Epistemic AI, focuses on the study of how knowledge is used in AI, reimagines AI from the ground up, and aims to create a new learning paradigm through proper modeling of real-world uncertainties.
Professor Fabio Cuzzolin will be joining Worldwide AI Webinar to detail his project and give us deeper insights into Epistemic Artificial Intelligence.


About the speaker

Fabio Cuzzolin earned a Master of Science in Computer Engineering from the University of Padua in 1997. In 2001, he received a Ph.D. from the same institution for his thesis Visions of A Generalized Probability Theory. He joined Oxford Brookes University as a Professor of Artificial Intelligence and the Director of the Visual Artificial Intelligence Laboratory after conducting research at Politecnico di Milano, Washington University in St. Louis, UCLA, and INRIA Rhone-Alpes. He is an expert in belief function theory and the author of over 100 peer-reviewed publications.
Professor Cuzzolin is a world leader in the field of imprecise probabilities and random set theory, to which he contributed an original geometric approach. His lab research spans AI, machine learning, computer vision, surgical robotics, autonomous driving, AI for healthcare, and uncertainty theory. His team is pioneering frontier topics such as machine theory-of-mind, epistemic artificial intelligence, predicting future actions and behavior, neurosymbolic reasoning, and self-supervised learning in video.

A brief introduction to the project

Epistemic AI (E-pi) is a research project funded by the European Union's Horizon 2020 initiative, specifically the Future Emerging Technologies (FET) scheme, which is intended to foster big-picture thinking and paradigm shifts.
This is a four-year project beginning on March 1, 2021, with three international partners: Oxford Brookes University (United Kingdom), Katholieke Universiteit Leuven (KU Leuven, Belgium), and Delft University of Technology (TU Delft, Netherlands).
The project aims to reimagine the foundations of AI by modeling the 'epistemic' uncertainty resulting from a machine's partial knowledge of the world and developing a mathematical framework to assist them in managing this uncertainty as effectively as possible.
Unsupervised learning, supervised learning, and reinforcement learning are the three main types of machine learning that the project intends to establish new "epistemic" learning environments.
Cuzzolin's Visual Artificial Intelligence Laboratory, a rapidly expanding research group with over 35 researchers and outside collaborators, is home to Epistemic AI. The lab conducts research in the fields of artificial intelligence, computer vision, robotics, autonomous driving, and mathematical statistics.
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