Various arrangements for facilitating smart television content receivers in a local network are provided. A primary television receiver executing a first operating system can receive audio data including human voice from a voice enabled remote control. The primary television receiver can transmit the audio data to a secondary television receiver executing a second operating system and that includes a voice command component. The secondary television receiver can convert the audio data into voice command data and transmit the voice command data to the primary television receiver. The primary television receiver can transmit the voice command data to a voice processing server via the Internet and receive, in response, a command generated based on the voice command data. The primary television receiver can transmit the command to the secondary television receiver. The voice command component can then control an operation of the secondary television receiver based on the command.

Methods, methods, and non-transitory, machine-readable media to facilitate streaming in a local network with a client-server architecture are disclosed. A primary media device may be configured to: operate as a server in a local network, receive first audio/video (A/V) content via an Internet connection, and receive second A/V content via a satellite network connection. Each secondary media device of a set of one or more secondary media devices may be configured to: operate as a client with respect to the primary media device in the local network, receive the first A/V content from the primary media device, receive the second A/V content from the primary media device, and provide the first A/V content and the second A/V content to at least one television of a set of one or more televisions.

Systems, methods, and non-transitory, machine-readable media to facilitate streaming in a local network with a client-server architecture are disclosed. A configuration tool may configure a primary media device to perform operations with respect to a local network. The configuration tool may be adapted to communicatively couple with the primary media device via at least one interface of the one or more interfaces to configure the primary media device to perform the operations with respect to the local network. The primary media device may be configured with the configuration tool to operate as a server in the local network, receive first audio/video (A/V) content via an Internet connection and/or a satellite network connection, and receive second A/V content via the Internet connection and/or the satellite network connection.

Various arrangements for facilitating smart television content receivers are provided. A primary television receiver (PTR) having a first operating system may be configured to receive digital content from a remote content provider and distribute the content to one or more devices in response to a request for the content. A secondary television receiver (STR) configured to be in communication with a PTR and having a second operating system may be configured to receive the digital content from the PTR and provide the content to a display for presentation. The STR may include a first software stack including first processes and a first inter-process communication (IPC) mechanism, and a second software stack including second processes and a second IPC mechanism. The first processes may use the first IPC to communicate with the second processes. The second processes may use the second IPC to communicate with others of the second processes.

Disclosed herein is a receiver that generates a video signal. A first video is assigned to a first display layer of a plurality of display layers. A first trigger signal causes a first application to assign a first user interface to a second display layer, which is positioned over the first display layer. A second trigger signal causes a second application to assign a second user interface to a third display layer, which is positioned over the second display layer. The second trigger signal causes a reduction in a size of the first video, and a first portion of the third display layer and a second portion of the second display layer to be made transparent. The reduced size of the first video is positioned beneath the first portion. A combination of the first display layer, the second display layer, and the third display layer generates the video signal.

Aspects of the disclosure relate to cognitive automation-based engine processing to propagate data across multiple systems via a private network to overcome technical system, resource consumption, and architecture limitations. Data to be propagated can be manually input or extracted from a digital file. The data can be parsed by analyzing for correct syntax, normalized into first through sixth normal forms, segmented into packets for efficient data transmission, validated to ensure that the data satisfies defined formats and input criteria, and distributed into a plurality of data stores coupled to the private network, thereby propagating data without repetitive manual entry. The data may also be enriched by, for example, correcting for any errors or linking with other potentially related data. Based on data enrichment, recommendations of additional target(s) for propagation of data can be identified. Reports may also be generated. The cognitive automation may be performed in real-time to expedite processing.

Various embodiments of the present technology generally relate to the characterization and improvement of software applications. More specifically, some embodiments relate to systems and methods for modeling code behavior and generating new versions of the code based on the code behavior models. In some embodiments, a method of improving a codebase includes recording a run of the existing code, characterizing the code behavior via one or more models, prototyping new code according to a target language and target environment, deploying the new code to the target environment, and comparing the behavior of the new code to the behavior of the existing code. In some implementations, generating new code based on the behavior models includes using one or more machine learning techniques for code generation based on the target language and environment.

With increasing demand for distributed intelligent physical systems performing big data analytics on the field and in real-time, processing-in-memory (PIM) architectures integrating 3D-stacked memory and logic layers could provide higher performance and energy efficiency. Towards this end, the PIM design requires principled and rigorous optimization strategies to identify interactions and manage data movement across different vaults.

Aspects of the disclosure relate to cognitive automation-based engine processing to propagate data across multiple systems via a private network to overcome technical system, resource consumption, and architecture limitations. Data to be propagated can be manually input or extracted from a digital file. The data can be parsed by analyzing for correct syntax, normalized into first through sixth normal forms, segmented into packets for efficient data transmission, validated to ensure that the data satisfies defined formats and input criteria, and distributed into a plurality of data stores coupled to the private network, thereby propagating data without repetitive manual entry. The data may also be enriched by, for example, correcting for any errors or linking with other potentially related data. Based on data enrichment, recommendations of additional target(s) for propagation of data can be identified. Reports may also be generated. The cognitive automation may be performed in real-time to expedite processing.

A hardware acceleration method includes obtaining compilation policy information and a source code, where the compilation policy information indicates that a first code type matches a first processor and a second code type matches a second processor; analyzing a code segment in the source code according to the compilation policy information; determining a first code segment belonging to the first code type or a second code segment belonging to the second code type; compiling the first code segment into a first executable code; sending the first executable code to the first processor; compiling the second code segment into a second executable code; and sending the second executable code to the second processor.