Abstract: According to the source code summary method based on AI using structural information, an apparatus and a computer program for performing the same according to the exemplary embodiment of the present disclosure, the source code is summarized based on the artificial intelligence using the structural information of the source code to propose a neural network model which learns the structural characteristic and meaning of the code by ensembling an encoder which learns a program dependency graph (PDG) and an encoder which learns a code sequence, thereby improving the code summary performance.

Abstract: A light emitting display device includes a lower substrate, a thin film transistor on the lower substrate, a passivation layer disposed on the thin film transistor and including hydrogen, an overcoating layer disposed on the passivation layer and planarizing the passivation layer, a light emitting element disposed on the overcoating layer and including an anode, a light emitting layer on the anode, and a cathode on the light emitting layer, a bank disposed on the overcoating layer and defining a light emitting area, an adhesive layer on the light emitting element and the bank, and a hydrogen absorbing layer disposed on the adhesive layer and including a hydrogen absorbing filler, wherein a side end of the bank is disposed more inwardly than side ends of the adhesive layer and the hydrogen absorbing layer, wherein the side ends of the adhesive layer and the hydrogen absorbing layer are disposed more inwardly than a side end of the overcoating layer.

Abstract: A light emitting display device includes a lower substrate, a thin film transistor on the lower substrate, a passivation layer disposed on the thin film transistor and including hydrogen, an overcoating layer disposed on the passivation layer and planarizing the passivation layer, a light emitting element disposed on the overcoating layer and including an anode, a light emitting layer on the anode, and a cathode on the light emitting layer, a bank disposed on the overcoating layer and defining a light emitting area, an adhesive layer on the light emitting element and the bank, and a hydrogen absorbing layer disposed on the adhesive layer and including a hydrogen absorbing filler, wherein a side end of the bank is disposed more inwardly than side ends of the adhesive layer and the hydrogen absorbing layer, wherein the side ends of the adhesive layer and the hydrogen absorbing layer are disposed more inwardly than a side end of the overcoating layer.

Abstract: This application relates to a computing system and method for an automated program error repair. In one aspect, the computing system includes a storage, a preprocessing processor, and an automated error repair processor. The storage stores a program code. The preprocessing processor acquires the program code from the storage and preprocesses the program code. Preprocessing includes tokenizing the program code with tokens, converting the tokens into vectors, and adding location information for the tokens. The automated error repair processor receives the preprocessed program code as an input from the preprocessing processor, detects an error in the preprocessed program code, corrects the detected error, and outputs the error-corrected program code. Detecting and correcting the error are performed based on a deep learning result and the location information for the tokens.

Abstract: This application relates to a computing system and method for an automated program error repair. In one aspect, the computing system includes a storage, a preprocessing processor, and an automated error repair processor. The storage stores a program code. The preprocessing processor acquires the program code from the storage and preprocesses the program code. Preprocessing includes tokenizing the program code with tokens, converting the tokens into vectors, and adding location information for the tokens. The automated error repair processor receives the preprocessed program code as an input from the preprocessing processor, detects an error in the preprocessed program code, corrects the detected error, and outputs the error-corrected program code. Detecting and correcting the error are performed based on a deep learning result and the location information for the tokens.

Abstract: A light emitting display device includes a lower substrate, a thin film transistor on the lower substrate, a passivation layer disposed on the thin film transistor and including hydrogen, an overcoating layer disposed on the passivation layer and planarizing the passivation layer, a light emitting element disposed on the overcoating layer and including an anode, a light emitting layer on the anode, and a cathode on the light emitting layer, a bank disposed on the overcoating layer and defining a light emitting area, an adhesive layer on the light emitting element and the bank, and a hydrogen absorbing layer disposed on the adhesive layer and including a hydrogen absorbing filler, wherein a side end of the bank is disposed more inwardly than side ends of the adhesive layer and the hydrogen absorbing layer, wherein the side ends of the adhesive layer and the hydrogen absorbing layer are disposed more inwardly than a side end of the overcoating layer.