Devices and components for machine learning-based signal error correction and methods of use thereof

An apparatus comprising:

• a first substrate;
• a first processor and a memory coupled to the first substrate;
• wherein the first processor is operationally connected to a signaling device comprising a second processor coupled to a second substrate;
• wherein the memory stores computer code having at least one machine learning model;
• wherein the first processor executes computer code stored in the memory that causes the first processor to:
• automatically receive from the second processor, a first output signal intended to be received by a target recipient device, wherein the first output signal comprises at least one instruction to the target recipient device, the at least one instruction being configured to cause the target recipient device to perform at least one action;
• automatically input the first output signal into the at least one machine learning model;
• wherein the at least one machine learning model is configured to perform at least:
• determine that the first output signal comprises an error signal that would cause a malfunction of at least one function performed by the target recipient device;
• and
• (ii) output an instruction that is configured to cause the first processor to generate a second output signal that is a corrected version of the first output signal;
• automatically generate the second output signal;
• and
• automatically instructing, via the second output signal instead of the first output signal, the target recipient device to perform the at least one action so as to facilitate error-corrected communication between the signaling device and the target recipient device.