In this lecture, Professor Wu focused on how neural networks optimize modern navigation and recognition technologies. The presentation followed a progressive approach, starting from foundational mathematical models of neurons and extending to a live demonstration of large-scale GPS path planning. This demo successfully illustrated route optimization across massive nodes, overcoming the computational bottlenecks inherent in traditional algorithms when processing big data. By providing an in-depth analysis of the hierarchical structures of Convolutional Neural Networks (CNN), the speaker showcased their precision in real-time image processing. This not only reinforced students' grasp of AI’s underlying logic but also established a robust technical foundation and exchange platform for future cross-disciplinary integration, such as the Internet of Things (IoT) and Smart Transportation.

Implemented by Department of Computer Science
Date: 2026/05/12