Each year, cardiovascular diseases weigh heavily on global healthcare systems, contributing to millions of premature fatalities. As the leading cause of mortality and morbidity worldwide, innovative approaches to cardiology are needed to improve care outcomes and reduce the cost on healthcare providers. The advent of AI brings forth a disruptive technology with enormous potential

The advent of machine learning, particularly in the field of computer vision, has transformed surveillance into a sophisticated and proactive tool for security, privacy, and public safety. In this article, we will delve into the world of machine learning in surveillance, exploring its applications, challenges, and the ethical considerations surrounding this

Many experts who have been deeply involved in developing the related technologies of Artificial Intelligence, machine learning and robotics are beginning to warn us about possible consequences that could have disruptive effects on social living. The warnings have ranged from the need for adequate regulatory safeguards to dangerous civilisational and

What is Knowledge Distillation? Knowledge distillation (KD) is a machine learning (ML) compression process that transfers knowledge from a large deep learning (DL) model to a smaller, more efficient model. In this context, knowledge refers to the patterns and behavior that the original model learned during training. Techopedia Explains The goal of knowledge distillation

As generative artificial intelligence (GenAI) continues to push the boundaries of creative expression and problem-solving, a growing concern looms: the emergence of hallucinations. An example of a hallucination is when GenAI confidently fabricates content that doesn’t align with reality. With their ability to generate astonishingly realistic images, texts, music and