COMMISSION NPL & RELATED BANKING ISSUES
Successful Round Table “The Savings of Europeans and the Future of Europe”, organised by CERSTE in collaboration with Federformazione and supported by BCC Napoli at Brussels – October 2nd, 2025
The round table will discuss the opportunities, risks, and implications of the European program to activate the €10 trillion in Europeans’ current accounts.
The meeting at Brussels will focus on analyzing the recently published European Union budget and the related new political and financial directions, specifically regarding cohesion policies, rural development, energy transition, and territorial disparities.
The conference held in the European Parliament on 21 May 2025 addressed and discussed several points of growing concern regarding the possible reformulation of the European Union’s budgetary priorities, in view of the next revision proposal that the Commission will present in July, in which inland areas and LAGs are not at the centre of investments.
Call for papers for the 13th Caffè Group Meeting that will have as main topic “From the Economy of Power to the Economy of Democracy”. The CERSTE and the Università Federico II (Italy) organize a meeting on the though of Federico Caffè to be held in Naples on the 2025, 6th and 7th of March.
Invitation to the online conference with Prof. Luca Mari on the topic entitled: “How to evaluate the quality of behavior of a GenIA model?”
The event emphasizes how interacting with these technological entities requires a humanistic approach, suggesting that human skills that cannot be replaced are related to responsibility and ethics, not just cognitive abilities.
Dialogue between Engineer Alfonso Scarano and Professor Luca Mari, an expert in generative artificial intelligence, focusing on the importance and challenges of this technology.
Cultural and cognitive transformation brought about by generative artificial intelligence, emphasizing how this revolution is not only technical but also social. Schools, central places for learning, need to prepare for these challenges, going beyond just transferring information.
Retrieval-Augmented Generation (RAG) is a technology for improving the responses of artificial intelligence models, it works by transforming questions into numerical vectors through a technique called embedding, and then retrieving relevant documents from a vector database.
