This perspective examines the transformative role of generative artificial intelligence (AI) in augmenting human creativity and catalyzing cognitive evolution. Tracing its historical development from symbolic AI to transformer-based architectures, it contends that generative AI is not simply a computational tool but a cognitive partner that reconfigures our understanding of creativity, perception, and epistemology. The phenomenon of AI hallucination—often dismissed as mere error—is reframed as a window into the dynamics of both artificial and human cognition. Through technical and philosophical analysis, the paper addresses generative AI's impact across domains ranging from art and archi... More >

In the era of rapid technological advancement, the demand for sophisticated Multi-Object Tracking (MOT) systems in applications such as intelligent surveillance and autonomous navigation has become increasingly critical.~However, existing models often struggle with accuracy and efficiency in densely populated or dynamically complex environments. Addressing these challenges, we introduce a novel deep learning-based MOT model that incorporates the latest CT-DETR detection technology and an advanced ReID module for improved pedestrian tracking. Experimental results demonstrate the model's superior performance in accurately identifying and tracking multiple targets across varied scenarios, signi... More >