AI Architectures: Methods of Data Transport and Storage

This presentation explores AI information handling methods, beginning with an overview of architectures and their importance in information flow. It delves into the mechanisms of AI models, such as CNNs, RNNs, and Transformers, highlighting their core operations like feature maps, hidden states, and self-attention. Finally, it examines advancements in global attention mechanisms, dynamic memory retrieval, and techniques for efficient data handling to provide insights into future AI...