Networking architectures are the backbone of global communication, facilitating data exchange across vast and complex infrastructures. These systems must meet
Graph Neural Networks (GNNs) are a rapidly advancing field in machine learning, specifically designed to analyze graph-structured data representing entities
Large language models (LLMs) have transformed AI applications, powering tasks like language translation, virtual assistants, and code generation. These models
Large Language Models (LLMs) have demonstrated remarkable potential in performing complex tasks by building intelligent agents. As individuals increasingly engage
Multimodal Large Language Models (MLLMs) have shown impressive capabilities in visual understanding. However, they face significant challenges in fine-grained perception
ReLU stands for Rectified Linear Unit. It is a simple mathematical function widely used in neural networks. The ReLU regression
Computer vision enables machines to analyze & interpret visual data, driving innovation across diverse applications such as autonomous vehicles, medical
Generative AI systems transform how humans interact with technology, offering groundbreaking natural language processing and content generation capabilities. However, these
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