Binary activation functions (BAFs) constitute as a unique and intriguing class within the realm of machine learning. These operations possess the distinctive characteristic of outputting either a 0 or a 1, representing an on/off state. This parsimony makes them particularly attractive for applications where binary classification is the primary goal