Growing up math was pretty boring to me. I think math is hard for some because its difficult and hard for others because of how intuitive it is. Some people have a hard time staying engaged because everything seems to make sense pretty quick. If we work backwards however  and analyze some of the big technology out today like Virtual Reality or Computer Vision. We find math concepts like Linear Algebra for solving equations in machine learning, differential equations in Digital signal processing, and mathematical topology in A.I:

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[1]"About this Research Topic 

 

Topological Data Analysis (TDA) and Topological Machine Learning (TML) comprise a set of powerful techniques whose ability to extract robust geometric information has led to novel insights in the analysis of complex data.

Topology is concerned with understanding the global shape and structure of objects. When applied to data, topological methods provide a natural complement to conventional machine learning approaches, which tend to rely on local properties of the data. The main strengths of TDA/TML include their robustness to noise and ability to succinctly capture multi-scale behaviour.

Topological techniques have found great success in domains ranging from network science to drug and materials design, visualisation and dimensionality reduction, neuroscience, and time series analysis. Recently, connections between topology and deep learning have been explored, revealing promising avenues into regularization, interpretability, and protection from adversarial attack""

[1] https://www.frontiersin.org/research-topics/14256/topology-in-real-world-machine-learning-and-data-analysis