Abstract: Systems and methods are described for converting input content. A first model may convert input content to an output content that exhibits one or more desired properties. A second model may determine if the conversion meets a desired quality of conversion using a discriminating function. The discriminating function may determine a difference between properties of the output content and properties of desired content, where the difference corresponds to the success of the conversion applying the desired properties. Updated control data may be generated by a third model using information from the second model, where the updated control data may be used by the first model to reduce the determined difference. After updated control data has been generated, the foregoing steps may be repeated based upon the updated control data. One of a plurality of different actions may be determined in response to the difference.

Abstract: An electronic device including a deep memory model includes at least one memory and at least one processor coupled to the at least one memory. The at least one processor is configured to receive input data to the deep memory model. The at least one processor is also configured to extract a history state of an external memory coupled to the deep memory model based on the input data. The at least one processor is further configured to update the history state of the external memory based on the input data. In addition, the at least one processor is configured to output a prediction based on the extracted history state of the external memory.

Abstract: An electronic device for active learning includes at least one memory and at least one processor coupled to the at least one memory. The at least one processor is configured to select one or more entries from a data set including unlabeled data based on a similarity between the one or more entries and labeled data. The at least one processor is further configured to cause the one or more entries to be labeled.

Abstract: A recognition method includes retrieving an input including data of a first window size. The method further includes classifying the input based on comparison of warping distance of the input with a pruning threshold.

Abstract: A recommendation method includes retrieving content consumption data including content consumed and content not consumed. Based on the content consumption data, identifying a first piece of content not consumed. A first feature of the first piece of content related to negative consumption of the first piece of content is determined. A first system is used to revise the first feature to a second feature. A second piece of content including the second feature is provided to an electronic device. The second piece of content is a revised instance of the first piece of content.

Abstract: A computer implemented method and system of change evaluation of an electronic design for verification confirmation. The method has the steps of receiving the electronic design comprised a subcomponent, employing a banked signature of data representative of the subcomponent, receiving a review request of the subcomponent, generating a current signature of the data representative of the subcomponent and determining a difference of the current signature and the banked signature.

Abstract: A computer implemented method and system of change evaluation of an electronic design for verification confirmation. The method has the steps of receiving the electronic design comprised a subcomponent, employing a banked signature of data representative of the subcomponent, receiving a review request of the subcomponent, generating a current signature of the data representative of the subcomponent and determining a difference of the current signature and the banked signature.

Abstract: A computer implemented method and system of change evaluation of an electronic design for verification confirmation. The method has the steps of receiving the electronic design comprised a subcomponent, employing a banked signature of data representative of the subcomponent, receiving a review request of the subcomponent, generating a current signature of the data representative of the subcomponent and determining a difference of the current signature and the banked signature.

Abstract: A computer implemented method and system of change evaluation of an electronic design for verification confirmation. The method has the steps of receiving the electronic design comprised a subcomponent, employing a banked signature of data representative of the subcomponent, receiving a review request of the subcomponent, generating a current signature of the data representative of the subcomponent and determining a difference of the current signature and the banked signature.

Abstract: A computer implemented method and system of change evaluation of an electronic design for verification confirmation. The method has the steps of receiving the electronic design comprised a subcomponent, employing a banked signature of data representative of the subcomponent, receiving a review request of the subcomponent, generating a current signature of the data representative of the subcomponent and determining a difference of the current signature and the banked signature.

Abstract: A computer implemented method and system of change evaluation of an electronic design for verification confirmation. The method has the steps of receiving the electronic design comprised a subcomponent, employing a banked signature of data representative of the subcomponent, receiving a review request of the subcomponent, generating a current signature of the data representative of the subcomponent and determining a difference of the current signature and the banked signature.