The present disclosure enables signal error correction using a first processor and a memory on a first substrate, where the first processor is operationally connected to a second processor on a second substrate and the memory stores computer code having a machine learning model. The first processor executes computer code to: automatically receive from the second processor, a first output signal intended to be received by a target recipient device. The first processor automatically inputs the first output signal into the machine learning model, where the machine learning model determines that the first output signal includes an error signal that would cause a malfunction in the target recipient device, and output an instruction to cause the first processor to generate a second output signal that corrects the error signal. The first processor automatically generates the second output signal and transmits the second output signal to the target recipient device.