Abstract: This disclosure relates generally to shared caches and, more particularly, to methods, systems, articles of manufacture, and apparatus to manage privacy with a shared cache in the context of networked systems running untrusted code, such as web browsers. An example apparatus comprises machine-readable instructions, and at least one processor circuit to be programmed by the machine-readable instructions to determine if a machine learning model is located in a shared cache of a web browser, determine an activity state of a client application, and when the activity state of the client application is inactive and the machine learning model is located in the shared cache of the web browser, cause a simulated model download before the client application is notified of an availability of the machine learning model in the shared cache of the web browser.

Abstract: A method for identifying a structure of a type to generate a model of the type includes the step of providing at least one replacement type for a basic type provided by a programming language. An identification of initialization, by a constructor, of an instance of the at least one replacement type is received. A type model comprising a description of a data layout of the instance of the type is generated responsive to the received identification.

Abstract: A method for optimizing data types includes the step of generating a data structure providing access to at least one data element, the data structure associated with a first representation of the at least one data element. A user is provided with a plurality of data types for accessing the at least one data element. A request for access to the at least one data element is received, the request including at least one of the plurality of data types. The request is responded to with a second representation of the at least one data element, the second representation generated responsive to the at least one of the plurality of data types.

Abstract: A method for identifying a structure of a type to generate a model of the type includes the step of providing at least one replacement type for a basic type provided by a programming language. An identification of initialization, by a constructor, of an instance of the at least one replacement type is received. A type model comprising a description of a data layout of the instance of the type is generated responsive to the received identification.

Abstract: A method for identifying a structure of a type to generate a model of the type includes the step of providing at least one replacement type for a basic type provided by a programming language. An identification of initialization, by a constructor, of an instance of the at least one replacement type is received. A type model comprising a description of a data layout of the instance of the type is generated responsive to the received identification.

Abstract: A method for using type analysis to generate an implementation of a type includes the step of identifying a request to generate a first implementation of a type. A type model associated with the type is received. A second implementation of the type model is identified as suitable for a high-performance implementation. The second implementation is generated on a target processor. The second implementation is represented as the first implementation.

Abstract: A method for optimizing data types includes the step of generating a data structure providing access to at least one data element, the data structure associated with a first representation of the at least one data element. A user is provided with a plurality of data types for accessing the at least one data element. A request for access to the at least one data element is received, the request including at least one of the plurality of data types. The request is responded to with a second representation of the at least one data element, the second representation generated responsive to the at least one of the plurality of data types.

Abstract: A method for optimizing data types includes the step of generating a data structure providing access to at least one data element, the data structure associated with a first representation of the at least one data element. A user is provided with a plurality of data types for accessing the at least one data element. A request for access to the at least one data element is received, the request including at least one of the plurality of data types. The request is responded to with a second representation of the at least one data element, the second representation generated responsive to the at least one of the plurality of data types.

Abstract: A method for optimizing data types includes the step of generating a data structure providing access to at least one data element, the data structure associated with a first representation of the at least one data element. A user is provided with a plurality of data types for accessing the at least one data element. A request for access to the at least one data element is received, the request including at least one of the plurality of data types. The request is responded to with a second representation of the at least one data element, the second representation generated responsive to the at least one of the plurality of data types.

Abstract: A method for identifying a structure of a type to generate a model of the type includes the step of providing at least one replacement type for a basic type provided by a programming language. An identification of initialization, by a constructor, of an instance of the at least one replacement type is received. A type model comprising a description of a data layout of the instance of the type is generated responsive to the received identification.

Abstract: A method for using type analysis to generate an implementation of a type includes the step of identifying a request to generate a first implementation of a type. A type model associated with the type is received. A second implementation of the type model is identified as suitable for a high-performance implementation. The second implementation is generated on a target processor. The second implementation is represented as the first implementation.