The significance of artificial intelligence for future developments in science and the economy was the central theme of the lecture "Computing in the Age of AI: From the Terminal to the Physical World", delivered by Constantinos Daskalakis, Avanessians Professor of Electrical Engineering and Computer Science at MIT and distinguished recipient of the Nevanlinna Prize.
The lecture was organised by the Laboratory of Economic Policy Studies of the Department of Economics at the Athens University of Economics and Business, in collaboration with Yale University (Hellenic Studies Programme) and with the support of Qualco Intelligent Finance. It took place on Friday, 26 June 2026, at the National Historical Museum, and aimed to inform the public about the evolution of artificial intelligence, from the screen to robotics and the physical world, and its significance for science and society.
Professor Daskalakis addressed key issues concerning the future of artificial intelligence and computing, presenting recent developments that have dramatically enhanced the capacity of computers to understand and process forms of information previously considered the exclusive domain of the human mind, such as images, texts, molecules, and even mathematical proofs. As he noted, these new capabilities have given rise to impressive applications and achievements, ranging from strategic algorithms such as AlphaGo and large language models to autonomous vehicles and the solving of complex mathematical problems.
He also raised critical questions about how the capabilities of artificial intelligence can be extended beyond the "terminal" and deployed in businesses, industrial processes, and systems that interact with the physical world. Particular emphasis was given to the challenges accompanying this transition, as well as to whether existing technologies suffice or whether the development of a new generation of methods and architectures is required.
In the context of the event, the results of the student competition "Text as Data in Economics: The Power of AI" were also announced, supported likewise by Qualco Intelligent Finance. The competition ran from 9 to 26 March, offering students the opportunity to apply modern methods of economic data analysis in practice, combined with the use of artificial intelligence tools for the adoption of text processing techniques. The winners were P. Touloumi, Nt. Mourougan, T. Papadopoulos, Ch. Mandalos, G. Mavrakis, and D. Gantsidis.
On the occasion of the lecture and the announcement of the student competition results, the Director of the Laboratory of Economic Policy Studies at the Athens University of Economics and Business and Professor in the Department of Economics, Mr Evangelos Dioikitopoulos, stated: "Through our collaboration with Qualco Intelligent Finance and initiatives such as today's lecture and the student competition with the Athens University of Economics and Business, we actively contribute to the dissemination of knowledge and to a deeper understanding of the developments shaping the future of technology and the economy."
Mr George Kazos, CEO of Qualco Intelligent Finance and Deputy CEO of Qualco Group, stated: "Artificial intelligence is at the core of the solutions we develop at Qualco Intelligent Finance. And we are well aware that the real challenge lies not in building models, but in deploying them in complex, constantly evolving environments, which is precisely what today's lecture addressed. This is why our collaboration with the Athens University of Economics and Business holds genuine significance for us: we seek to contribute to the development of the next generation of scientists and professionals who will harness AI to provide solutions to real challenges facing the economy and society."
The lecture series and the competition form part of the broader framework of the memorandum of cooperation signed last summer between the Laboratory of Economic Policy Studies (LEPS) of the Department of Economics at the Athens University of Economics and Business (AUEB) and Qualco Intelligent Finance, with the aim of bridging academic knowledge with modern technological applications in the field of economic analysis.
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