Sharif Psychoanalysis of Artificial Intelligence
The Psychoanalysis of Artificial Intelligence is an emerging research area that seeks to integrate insights from the field of psychoanalysis into the development and understanding of AI systems. By examining the underlying psychological theories behind human cognition, language, and behavior, researchers in this field aim to create more human-like AI models that can better understand and interact with the world. Key concepts from psychoanalytic theory, such as Freud's theory of personality and Jacques Lacan's philosophy, are explored to investigate the foundations of human thought and its potential implications for artificial intelligence.
Multimodality and Language Models
Multimodality and Language Models is a research domain focused on the intersection of visual and textual information in language modeling. By leveraging the complementary strengths of different modalities, such as text, images, and video, researchers aim to build more robust and versatile AI systems that can comprehend and generate content across various formats. Projects in this area often involve the development of text-to-image models, the creation of multimodal datasets, and the investigation of the relationships between different modalities. These efforts pave the way for a new generation of AI systems capable of understanding and generating complex, context-rich information spanning multiple sensory modalities.