Abstract: A method includes obtaining input signal values and output signal values from an integrated circuit and providing the obtained input signal values and output signal values to a machine learning model. The method further includes obtaining, from the machine learning model, a predicted set of signal values, wherein the predicted set of signal values correspond to signals internal to the integrated circuit and comparing the predicted set of signal values to one or more expected signal values for debugging the integrated circuit.

Abstract: A system and method for optimizing load current in a string of solar panels. A string of solar panels includes a microprocessor coupled to the string of solar panels. The system includes a first DC-to-DC converter comprising input terminals coupled to a load and output terminals coupled to each solar panel in the string of solar panels. The first DC-to-DC converter is operable to supply a compensatory power for compensating a drop in the peak current arising due to shading of one or more solar panels. Moreover, the system includes a second DC-to-DC converter coupled to the first DC-to-DC converter. The second DC-to-DC converter is operable as one of a voltage adder and a voltage subtractor to generate a compensatory voltage for compensating a drop in the load current arising due to panel mismatch among the string of solar panels.