On September 16 at 5:00 PM, the 22nd seminar in the CSIE Seminar Series took place, focusing on an in-depth exploration of Liquid Neural Networks, covering their innovative architecture, time-constant dynamics, and applications in interpretable robotic control and autonomous systems.

The seminar was led by CSIE research intern Amaras Nazarians from our 5th group, who presented her observations on the seminar's topic, discussing key concepts including Liquid Time-Constant Networks (LTC), Neuronal Circuit Policies (NCP), and Closed-form Continuous-time Networks (CfC), along with their practical applications in robotics and autonomous navigation.

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