Imaging plays a crucial role in diagnosis, prognosis as well as patient treatment. Additionally, it plays an important role in improving our understanding of human physiology and pathophysiology in various disease states. Magnetic Resonance Imaging (MRI) is a versatile imaging modality which provides the capability of probing a wide variety of different information such as T1, T2, diffusion, perfusion, blood oxygenation, extracellular volume fractions, to name a few. However, one of the major limitations of MRI is that it is relatively slow. Thus, the versatility of MRI is offset by the need to select a few limited desired parameters for each specific clinical scenario. Recently, a novel MRI framework was introduced called Magnetic Resonance Fingerprinting (MRF), which was inspired by concepts from compressed sensing and biometric fingerprinting. The MRF framework presents large degrees of freedom and a novel viewpoint for designing imaging technologies. In this talk I will briefly go through various recent technical advances using MRF framework, their advantages, applications and potential capabilities to overcome existing limitations.