👉 Arnold computing is a theoretical model of computation that extends the concept of Turing machines by incorporating the idea of "arbitrary" or "infinite" memory access, but with a twist: it allows for computations to be performed using an infinite sequence of "slices" or segments of memory, rather than a fixed amount. This means that while the machine can only process a finite portion of its memory at any given time, it can theoretically manipulate an unbounded amount of data by accessing and processing these slices in a controlled manner. This model bridges the gap between finite Turing machines and more advanced computational paradigms, offering a framework where computations can be both memory-efficient and capable of handling complex, unbounded data structures. It's particularly useful in theoretical computer science for exploring the boundaries of what can be computed and how efficiently.
