Invited Talks
Włodzisław Duch "Impact of artificial intelligence on science."
Link to CV: http://www.is.umk.pl/~duch/cv/cv.html
In September 2025 frontier AI models have surpassed humans in programming and mathematical competitions. In life sciences systems like AlphaFold became indispensable. The future of scientific research lies in human-AI agent collaboration. In several branches of physics great progress has already been made. To accelerate scientific discovery multimodal large reasoning models capable of comprehending various scientific modalities are needed. Physics-informed systems are trained to respect constraints based on the laws of physics, before successful applications to predict complex real-world phenomena. Attractor network simulations show how temporo-spatial processing disorders can be related to properties of networks and individual neurons, and offer a neural interpretation of psychological phenomena. In this talk I will try to show the path from predictive AI through partial assistance to full autonomous integrated research platforms controlled by AI agents.
Wojciech Bożejko "The Next Research Frontier: When Quantum Computing Meets AI and Operations Research."
Wojciech Bożejko is a Professor at Wrocław University of Science and Technology. He obtained his M.Sc. from the University of Wrocław, Institute of Computer Science in 1999, Ph.D. from Wrocław University of Technology, Institute of Engineering Cybernetics in 2003, D.Sc. (habilitation) from Wrocław University of Technology, Faculty of Electronics, in 2011, and the Full Professor title in 2020. He is Head of the Department of Control and Quantum Computing at Wrocław University of Science and Technology. He is a Member of the Committee on Computer Science of the Polish Academy of Sciences and a Senior Member of IEEE. He was the originator and executor of the installation of the first quantum computer in Poland, ODRA 5. He is the author of over 260 articles (2000 citations on Google Scholar, h-index 24) published in peer-reviewed journals and conference proceedings from the field of parallel processing, quantum computing, scheduling and optimization. His Erdős number is 4. He is also a qualified musician, having graduated in 1998 with a Master of Arts degree from the Academy of Music in Wrocław, specializing in piano.
Quantum computers are slowly becoming a tool for effectively solving difficult optimization and decision-making problems. Although this process is progressing slowly, the computing power of modern quantum machines is growing rapidly, and in some areas even exceeds the capabilities of supercomputers. Particularly in the areas of optimization, NP-hard problem solving, and AI—recognition and machine learning—significant progress has recently been made in leveraging the unique capabilities of quantum computing. The availability of physical quantum computers is increasing, and their hybrid use as coprocessors for classical supercomputing systems seems very natural at this point. The intersection of quantum computing with AI and operations research represents a defining research frontier that promises to transform how we solve the most challenging computational problems facing science and industry, from supply chain optimization to drug discovery and financial modeling. This lecture explores quantum computing applications in AI and operations research, highlighting both the technology's advantages and current obstacles.
