Different Age

Research on "different age" focuses on understanding how age impacts various aspects of human behavior, cognition, and biology, aiming to develop age-sensitive models and technologies. Current research utilizes diverse approaches, including deep learning models (e.g., ResNet, transformers, prototypical networks) for tasks like age classification from text and images, and analyzing age-related differences in trust, humor perception, and brain structure. These studies are significant for improving human-computer interaction, medical diagnosis, and developing age-appropriate technologies, while also revealing biases in existing AI systems and informing the design of more inclusive and effective tools.