Abstract: The present disclosure is directed to systems and methods for performing reading comprehension with machine learning. More specifically, the present disclosure is directed to a Neural Symbolic Reader (example implementations of which may be referred to as NeRd), which includes a reader to encode the passage and question, and a programmer to generate a program for multi-step reasoning. By using operators like span selection, the program can be executed over a natural language text passage to generate an answer to a natural language text question. NeRd is domain-agnostic such that the same neural architecture works for different domains. Further, NeRd is compositional such that complex programs can be generated by compositionally applying the symbolic operators.

Abstract: The present application provides a method for detecting temperature of thermal chamber comprising: conducting a thermal treatment at a predicted temperature to a selected silicon wafer within a thermal chamber, wherein the predicted temperature comprises plural temperature points set in order; obtaining a haze value corresponding to the predicted temperature; obtaining a linear relationship I between the temperature and the haze; polishing and washing the silicon wafer; conducting a thermal treatment at a predicted temperature to the polished silicon wafer within the thermal chamber; obtaining a linear relationship II between the temperature and the haze; calculating a difference of the haze at same temperature point between the two thermal treatments, and obtaining an actual temperature difference of the thermal chamber based on the difference of the haze.

Abstract: The present application provides a method for detecting temperature of thermal chamber comprising: conducting a thermal treatment at a predicted temperature to a selected silicon wafer within a thermal chamber, wherein the predicted temperature comprises plural temperature points set in order; obtaining a haze value corresponding to the predicted temperature; obtaining a linear relationship I between the temperature and the haze; polishing and washing the silicon wafer; conducting a thermal treatment at a predicted temperature to the polished silicon wafer within the thermal chamber; obtaining a linear relationship II between the temperature and the haze; calculating a difference of the haze at same temperature point between the two thermal treatments, and obtaining an actual temperature difference of the thermal chamber based on the difference of the haze.

Abstract: The present application provides a method for detecting temperature of thermal chamber comprising: conducting a thermal treatment at a predicted temperature to a selected silicon wafer within a thermal chamber, wherein the predicted temperature comprises plural temperature points set in order; obtaining a haze value corresponding to the predicted temperature; obtaining a linear relationship I between the temperature and the haze; polishing and washing the silicon wafer; conducting a thermal treatment at a predicted temperature to the polished silicon wafer within the thermal chamber; obtaining a linear relationship II between the temperature and the haze; calculating a difference of the haze at same temperature point between the two thermal treatments, and obtaining an actual temperature difference of the thermal chamber based on the difference of the haze.