Cognitive Computing
AI systems that simulate human thought processes, emphasizing learning, reasoning, and natural interaction.
Detailed Definition
Cognitive computing aims to create AI systems that mimic human thinking processes. These systems can handle complex and uncertain information through learning, reasoning, natural language processing, and natural interaction with humans. Unlike traditional computing, cognitive computing systems can learn from experience and adapt to new situations, commonly used in fields requiring deep analysis and judgment. Modern cognitive computing combines multiple AI technologies including machine learning, natural language processing, computer vision, and knowledge representation to create systems that can understand context, reason about complex problems, and interact naturally with humans.
Advanced ConceptsMore in this Category
Artificial General Intelligence (AGI)
A hypothetical type of AI that matches or exceeds human cognitive abilities across all domains.
Foundation Model
Large-scale AI models trained on diverse data that serve as the basis for various downstream applications.
Multimodal AI
AI systems capable of processing and correlating multiple types of data such as text, images, and audio.
RAG (Retrieval-Augmented Generation)
A technique that enhances AI responses by retrieving relevant information from external knowledge sources.