This article provides a comprehensive overview of generative artificial intelligence (GenAI) by tracing its evolution from early techniques such as Gaussian mixture models (GMMs) to recent advances like generative adversarial networks (GANs) and transformer-based models. Additionally, it outlines various key generative frameworks like variational autoencoders (VAEs), deep … [Read more...] about The power of generative artificial intelligence: Revolutionizing cybersecurity, marketing, and creative industries
Predictive models
User story-based automatic test case classification and prioritization using natural language processing-based deep learning
Software development starts with requirement engineering which involves establishing and documenting requirements. In agile environments, requirements are collected in the form of user stories. User stories play a crucial role in capturing functional requirements from end users. Testing and prioritizing user stories are essential to ensure whether the software meets the desired … [Read more...] about User story-based automatic test case classification and prioritization using natural language processing-based deep learning
Computational approaches in mental health
< In the past few decades, technology has played a considerable role in medical research. For example, advances in machine learning algorithms have allowed for automatic diagnosis of medical conditions, through techniques involving neuroimaging data, electronic health records and physiological biomarkers. Research in the past few decades has also resulted in a … [Read more...] about Computational approaches in mental health