Recent research has revealed that neurons in the brain might be organized according to a mathematical rule called the “Poisson-Binomial distribution”. This rule explains the distribution of neurons in the brain, and helps us better understand how the brain processes information and functions. This discovery provides insights into how the brain is structured and its evolutionary history.
This paper focuses on the development of a mathematical formula to accurately measure the growth and subsequent decline of certain materials. It develops general-purpose models for algorithmic predictions of materials’ growth and decay over time, demonstrating the effectiveness of the algorithm in maximizing the results of computational predictions. The findings can advance the understanding of materials’ behavior, helping to optimize their utilization in various applications.
