In the theory of general relativity, matter and energy can bend space-time and disturb it’s shape. So if an astrophysical or cosmic process involves periodic or sudden movement of a large amount of matter, in a non-symmetric manner, it can produce gravitational waves

Overview Topological Machine Learning (TML) is a newly-emerging branch of data science at the interface of Topological Data Analysis (TDA) and Machine Learning (ML). The last decade saw an enormous boost in the field of Computational Topology. Methods and concepts from Algebraic Topology, formerly confined to the realm of pure mathematics, have demonstrated their usefulness in numerous areas e.g. biology, neuroscience, dynamical systems and material science, to name a few. In addition to the applications of TDA, it has also proven to be effective in supporting, enhancing, and augmenting both classical ML and Deep Learning (DL) models such as deep…