Predicting personality traits automatically has emerged as a challenging problem in computer vision. This paper introduces an innovative multimodal feature learning framework for personality analysis in short video clips. For visual processing, we construct a facial graph and design a Geo-based two-stream network incorporating an attention mechanism, leveraging both Graph Convolutional Networks (GCN) and Convolutional Neural Networks (CNN) to capture static facial expressions. Additionally, ResNet18 and VGGFace networks are employed to extract global scene and facial appearance features at the frame level. To capture dynamic temporal information, we integrate a BiGRU with a temporal attentio... More >

This editorial explores the transformative role of generative artificial intelligence (AI) in augmenting human creativity and catalyzing cognitive evolution. Tracing its historical lineage from symbolic AI to transformer-based architectures, this editorial argues that generative AI is not merely a computational tool but a cognitive partner that reshapes our understanding of creativity, perception, and epistemology. The phenomenon of AI hallucination—often dismissed as error—is reframed as a window into the dynamics of both artificial and human cognition. Through technical and philosophical analysis, the paper discusses generative AI’s impact on fields ranging from art and architecture... More >