The hybridization of quantum theory and machine learning is expanding the frontiers of quantum information science and opening up new possibilities. This seminar provides an overview of the origins and key concepts of quantum machine learning (QML), current research trends, and the major challenges the field faces today. I will begin with a brief introduction to the fundamental principles of quantum computing and the background that led to the emergence of QML. The seminar will then explore the types of problems QML aims to solve, its current limitations, and the ongoing efforts by researchers to overcome these hurdles.