"Memory and Artificial Intelligence: Structures, Models, and Implementation for Advanced Cognitive Systems" Memory is a fundamental element of human cognition, but how can it be replicated in artificial intelligence systems? This article explores the structures of biological memory and their implementation in AI, analyzing advanced models such as LSTM, Differentiable Neural Computers (DNC), Retrieval-Augmented Generation (RAG), and Variational Auto-Encoders (VAE). Understand the link between human and artificial memory Discover how to create an adaptive and stable memory system for AI Analyze the most advanced cognitive architectures (Soar, CRAM, LIDA, SASE) Explore the concept of holographic memory to simulate neural plasticity For researchers, developers, and AI enthusiasts who want to build more advanced cognitive systems. Read the article and discover the future of memory in machines!