About the Speaker
Marcel van Gerven is Professor of Artificial Cognitive Systems and Principal Investigator in the Department of Machine Learning and Neural Computing of the Donders Institute for Brain, Cognition and Behaviour, Radboud University, the Netherlands. Prof. van Gerven is an expert in machine learning and neuromorphic computing. His work ranges from understanding the computational mechanisms of adaptive control in natural and artificial systems to the development of new AI technology with applications in e.g. neuroscience, neurotechnology, healthcare and high-tech industry. Prof. van Gerven is recipient of several grants at the intersection of AI and neuroscience, such as Dutch Vidi, Crossover, Perspective and Gravitation grants, and EU HBP and FET grants. He also received the Radboud Science Award for his scientific work. Prof. van Gerven is cofounder of Radboud AI, ELLIS Fellow and directs one of the European ELLIS units as part of the European Excellence Network in Machine Learning. He is also director of the Innovation Centre in AI for Semiconductor Manufacturing. He was CSO of the spinoff company Machine2Learn and is currently involved in several new AI startups. Through his work, he aims to bridge the gap between natural and artificial intelligence and contribute to the development of sustainable AI solutions that make a positive impact in science and society.
Talk Abstract
In this talk I will provide an overview of our research at the intersection between artificial intelligence and neuroscience. Embracing dynamical systems as a mathematical formalism, I will show how artificial intelligence can offer exciting opportunities for understanding and steering neural information processing. Next, I will show how the same formalism can be used to develop neuromorphic (brain-inspired) intelligent systems. These systems not only provide a sustainable approach to artificial intelligence but provide a computational route towards understanding natural intelligence.
We are looking forward to the talk!