Introduction A Generative Adversarial Network (GAN) is a type of machine learning model that consists of two neural networks: a generator and a discriminator. The generator network is responsible for… Generative Adversarial Network (GAN)
Introduction General explainability refers to the ability of a system or model to provide understandable and interpretable explanations for its decisions or actions. It is an important aspect of artificial… General Explainability
Introduction Multimodal Artificial Intelligence (AI) refers to the integration of multiple modes of communication and perception, such as speech, text, images, and gestures, into AI systems. By combining these different… Multimodal Artificial Intelligence
Introduction The Foundation Model (FM) is a state-of-the-art language model developed by OpenAI. It is designed to generate human-like text and has been trained on a vast amount of internet… Foundation Model (FM)
Introduction Explainability (XAI) refers to the ability of an AI system to provide understandable and transparent explanations for its decisions or actions. It aims to bridge the gap between the… Explainability (XAI)
Introduction Feature selection is a crucial step in machine learning and data analysis. It involves selecting a subset of relevant features from a larger set of available features to improve… Feature Selection
Introduction The Manhattan Project was a top-secret research and development project undertaken during World War II by the United States. Its primary objective was to develop the first atomic weapons,… Manhattan Project
Introduction Virtual assistants (VAs) are computer programs or artificial intelligence (AI) systems designed to provide assistance and perform tasks for users. They are capable of understanding and responding to natural… Virtual assistants (VAs)
