👉 May Computing, also known as May Math or May Math 2, is a mathematical framework that aims to unify and generalize various computational models by focusing on the fundamental principles of computation. It emphasizes the study of algorithms and computational processes through the lens of mathematical structures, particularly those related to automata theory, category theory, and type theory. At its core, May Computing seeks to provide a high-level, abstract language for describing computation that transcends traditional models like Turing machines and lambda calculus. By doing so, it aims to reveal deep connections between different areas of mathematics and computer science, offering a more unified understanding of what computation fundamentally entails. This approach not only simplifies the study of complex computational systems but also has potential implications for areas such as programming language design, formal verification, and the theoretical foundations of quantum computing.
