Natural Language Processing (NLP) is a subfield of AI that involves interaction between computers and human language. It entails the development of algorithms and models that enable machines to meaningfully understand, interpret, and generate human language. As technology advances and intelligent systems are becoming increasingly sought…

Explainable AI (XAI) is an evolving field of artificial intelligence that seeks to make AI decisions transparent and comprehensible to humans. While AI systems have made significant progress in solving complex problems, especially in areas like image recognition, natural language processing, and game playing, they often operate as “black boxes”—making decisions in ways that are not easily understood. XAI aims to address this by creating AI models that not only provide predictions or decisions but also explain the reasoning behind them. XAI provides insights into how and why an AI system arrived at a particular decision or outcome.

The combination of artificial intelligence (AI) with edge computing has rapidly emerged as a pivotal innovation, driving transformative changes across industries. By integrating AI capabilities directly into edge devices, the…