The two main finite state machine architectures are the Mealy and Moore State Machines. What are the main differences between these two types of finite state machines? Outputs are dependent on both ...

Finite State Machines (FSMs) serve as a foundational model for representing the behaviour of systems that transition between discrete states in response to inputs. Their applicability ranges from ...

In my previous article, I highlighted the importance of state machine thinking in creating robust and dependable systems. Now, let's delve deeper into the mathematical underpinnings of converting ...

Finite State Machines (FSMs) have long been a cornerstone of digital system design, and continuing advancements in logic synthesis have enabled increasingly optimised implementations. At its core, FSM ...

One of the things we love best about the articles we publish on Hackaday is the dynamic that can develop between the hacker and the readers. At its best, the comment section of an article can be a ...

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The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Regular expressions. Closure properties. Sequential machines and finite state transducers. State minimization. Chomsky hierarchy grammars, pushdown acceptors and linear bounded automata. Closure ...

The goal of medical device software development should be to select a process and architecture that ensure a safe and effective product. The methods utilized to achieve this goal differ among medical ...

A mathematical model of computation. Named after English scientist Alan Turing, a Turing machine is a finite state machine that reads a tape divided into cells. The Turing machine examines the symbol ...