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November 20, 2025 12:00 p.m.
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Faculty of Computer Science, AGH University of Krakow
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Neuromorphic computing (NC) introduces a new algorithmic paradigm, marking a significant departure from the traditional digital computing model based on the Von Neumann architecture. NC emulates or simulates the dynamics of the human brain through so-called Spiking Neural Networks (SNNs). Most existing research in this field has focused on applications in machine learning and neuroscience simulations.
This lecture will present the modeling and implementation of optimization algorithms – in particular, metaheuristics and computational intelligence algorithms – using the neuromorphic computing paradigm as an alternative to the classic Von Neumann architecture. Such an approach opens up new possibilities and may lead to breakthroughs in solving complex optimization problems.
Since 2001, El-Ghazali Talbi has been a professor at the University of Lille, where he leads the Optimization Research Group at the CRIStAL Laboratory and collaborates with INRIA Lille Nord Europe. His main research interests include metaheuristics, multi-objective optimization, parallel and distributed algorithms, hybrid optimization methods, and their applications in logistics, energy, and engineering.
Online streaming:
Link: https://agh-mche.webex.com/meet/informatyka
We warmly invite everyone interested!