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Studierende in den Seminarräumen des O-Gebäudes, Foto: Universität Paderborn, Fotografin: Judith Kraft Show image information

Studierende in den Seminarräumen des O-Gebäudes, Foto: Universität Paderborn, Fotografin: Judith Kraft


Hybrid Lecture by Humboldt Professor Yaochu Jin on April 27, 16:15-17:45 CET, "Towards Evolutionary Developmental Artificial Intelligence"

The Joint Artificial Intelligence Institute (JAII) and the Faculty of Technology of Bielefeld University invite you to the inaugural lecture of Prof. Yaochu Jin. The lecture will be a hybrid event, taking place in the CITEC lecture hall (located on the ground floor of the CITEC) and online via Zoom. 
Prof Jin is an Alexander von Humboldt Professor for Artificial Intelligence (endowed by the German Federal Ministery of Education and Research) at the Faculty of Technology, Bielefeld University. His main research interests include data-driven evolutionary optimization, multi-objective optimization, evolutionary learning, secure and privacy-preserving machine learning, and evolutionary developmental systems. Prof Jin is presently the Editor-in-Chief of the IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS and the Editor-in-Chief of Complex & Intelligent Systems. He was named by the Web of Science as “a Highly Cited Researcher” in 2019 and 2020. 

Considering the limitations of the deep learning approach to artificial intelligence, this talk proposes to understand and emulate human intelligence from an evolutionary developmental perspective. We first provide a brief introduction to the biological findings about evolution and development of human brain and nervous systems. Then preliminary computational models of neural and morphological evolution and development are presented. Experimental results reveal that energy minimization is a main principle behind the organization of nervous systems and there is a close coupling between body and brain in evolution and development. Finally, we describe some recent advances in computational modeling of neural plasticity embedded in the reservoir computing and discuss their influences on the learning performance of echo state networks and spiking neural networks. The talks is concluded by an outline of future research. 
You can register for the Zoom lecture below or join us in person in Bielefeld; we are very much looking forward to it!

Registration for Iauguration Lecture via Zoom

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