👉 Frequency computing is a paradigm of computation that leverages the frequency or probability of events, rather than traditional binary logic, to process information. This approach is inspired by how the human brain operates, where neurons communicate based on the strength and frequency of their connections. In frequency computing, data is represented as patterns of activity in these connections, and computations are performed by adjusting the weights of these connections to reflect the likelihood or importance of certain events. This method can be particularly efficient for tasks involving pattern recognition, natural language processing, and machine learning, as it inherently captures the statistical properties of data. Unlike conventional computing, which processes information in discrete steps, frequency computing operates on continuous probability distributions, potentially offering advantages in terms of energy efficiency and speed for specific applications.
