Abstract: The disclosed computer-implemented method may include accessing updated data structures that are to be included in a user interface functionality test, where the updated data structures contribute to a user interface. The method may also include accessing live or snapshotted data captured from services running in a production environment, initiating generation of a first user interface instance using the updated data structures and using the accessed live or snapshotted data, and initiating generation of a second user interface instance using a different version of the data structures and using the same accessed live or snapshotted data. The method further includes comparing the first user interface instance to the second user interface instance to identify differences and then determine which outcome-defining effects the updated data structures had on the user interface based on the identified differences between the user interfaces.

Abstract: A desktop switcher provides equally convenient user interface navigational access to remote virtual desktops as to local virtual desktops for reliable and convenient human-computer interaction. Underlying mechanisms transparently confirm remote computer availability and compatibility, transfer thumbnails between computers, and support remoting sessions. Virtual desktops may share a clipboard, a geographic location setting, and application thumbnails, despite being based on computers that are remote from one another, e.g., when only one of a session's computers resides in a cloud. Virtual desktop context menus may be shown and utilized remotely. A visual separator in the desktop switcher may distinguish local virtual desktops from remote virtual desktops.

Abstract: A system for utilizing models derived from offline historical data in online applications is provided. The system includes a processor and a memory storing machine-readable instructions for determining a set of contexts of the usage data, and for each of the contexts within the set of contexts, collecting service data from services supporting the media service and storing that service data in a database. The system performing an offline testing process by fetching service data for a defined context from the database, generating a first set of feature vectors based on the fetched service data, and providing the first set to a machine-learning module. The system performs an online testing process by fetching active service data from the services supporting the media streaming service, generating a second set of feature vectors based on the fetched active service data, and providing the second set to the machine-learning module.

Abstract: The disclosed computer-implemented method may include accessing updated data structures that are to be included in a user interface functionality test, where the updated data structures contribute to a user interface. The method may also include accessing live or snapshotted data captured from services running in a production environment, initiating generation of a first user interface instance using the updated data structures and using the accessed live or snapshotted data, and initiating generation of a second user interface instance using a different version of the data structures and using the same accessed live or snapshotted data. The method further includes comparing the first user interface instance to the second user interface instance to identify differences and then determine which outcome-defining effects the updated data structures had on the user interface based on the identified differences between the user interfaces.

Abstract: The disclosed computer-implemented method may include accessing updated data structures that are to be included in a user interface functionality test, where the updated data structures contribute to a user interface. The method may also include accessing live or snapshotted data captured from services running in a production environment, initiating generation of a first user interface instance using the updated data structures and using the accessed live or snapshotted data, and initiating generation of a second user interface instance using a different version of the data structures and using the same accessed live or snapshotted data. The method further includes comparing the first user interface instance to the second user interface instance to identify differences and then determine which outcome-defining effects the updated data structures had on the user interface based on the identified differences between the user interfaces.

Abstract: A system for utilizing models derived from offline historical data in online applications is provided. The system includes a processor and a memory storing machine-readable instructions for determining a set of contexts of the usage data, and for each of the contexts within the set of contexts, collecting service data from services supporting the media service and storing that service data in a database. The system performing an offline testing process by fetching service data for a defined context from the database, generating a first set of feature vectors based on the fetched service data, and providing the first set to a machine-learning module. The system performs an online testing process by fetching active service data from the services supporting the media streaming service, generating a second set of feature vectors based on the fetched active service data, and providing the second set to the machine-learning module.

Abstract: The disclosed computer-implemented method may include accessing updated data structures that are to be included in a user interface functionality test, where the updated data structures contribute to a user interface. The method may also include accessing live or snapshotted data captured from services running in a production environment, initiating generation of a first user interface instance using the updated data structures and using the accessed live or snapshotted data, and initiating generation of a second user interface instance using a different version of the data structures and using the same accessed live or snapshotted data. The method further includes comparing the first user interface instance to the second user interface instance to identify differences and then determine which outcome-defining effects the updated data structures had on the user interface based on the identified differences between the user interfaces.

Abstract: A system for utilizing models derived from offline historical data in online applications is provided. The system includes a processor and a memory storing machine-readable instructions for determining a set of contexts of the usage data, and for each of the contexts within the set of contexts, collecting service data from services supporting the media service and storing that service data in a database. The system performing an offline testing process by fetching service data for a defined context from the database, generating a first set of feature vectors based on the fetched service data, and providing the first set to a machine-learning module. The system performs an online testing process by fetching active service data from the services supporting the media streaming service, generating a second set of feature vectors based on the fetched active service data, and providing the second set to the machine-learning module.

Abstract: Systems and methods for reconfiguration of a hardened intellectual property (IP) block in an integrated circuit (IC) device are provided. Reconfiguration of the hardened IP block in the IC device may transition between functions supported by the hardened IP block. A transition may occur as a pre-configured profile is selected to reconfigure the hardened IP block. Further, configuration data associated with each of the pre-configured profiles of the hardened IP block may be generated and storage space to store the configuration data may be created. Additionally, reconfiguration control logic to read and implement the configuration data in hard IP design primitives may also be generated.

Abstract: A system for utilizing models derived from offline historical data in online applications is provided. The system includes a processor and a memory storing machine-readable instructions for determining a set of contexts of the usage data, and for each of the contexts within the set of contexts, collecting service data from services supporting the media service and storing that service data in a database. The system performing an offline testing process by fetching service data for a defined context from the database, generating a first set of feature vectors based on the fetched service data, and providing the first set to a machine-learning module. The system performs an online testing process by fetching active service data from the services supporting the media streaming service, generating a second set of feature vectors based on the fetched active service data, and providing the second set to the machine-learning module.

Abstract: A system for utilizing models derived from offline historical data in online applications is provided. The system includes a processor and a memory storing machine-readable instructions for determining a set of contexts of the usage data, and for each of the contexts within the set of contexts, collecting service data from services supporting the media service and storing that service data in a database. The system performing an offline testing process by fetching service data for a defined context from the database, generating a first set of feature vectors based on the fetched service data, and providing the first set to a machine-learning module. The system performs an online testing process by fetching active service data from the services supporting the media streaming service, generating a second set of feature vectors based on the fetched active service data, and providing the second set to the machine-learning module.

Abstract: Systems and methods for reconfiguration of a hardened intellectual property (IP) block in an integrated circuit (IC) device are provided. Reconfiguration of the hardened IP block in the IC device may transition between functions supported by the hardened IP block. A transition may occur as a pre-configured profile is selected to reconfigure the hardened IP block. Further, configuration data associated with each of the pre-configured profiles of the hardened IP block may be generated and storage space to store the configuration data may be created. Additionally, reconfiguration control logic to read and implement the configuration data in hard IP design primitives may also be generated.

Abstract: A system for utilizing models derived from offline historical data in online applications is provided. The system includes a processor and a memory storing machine-readable instructions for determining a set of contexts of the usage data, and for each of the contexts within the set of contexts, collecting service data from services supporting the media service and storing that service data in a database. The system performing an offline testing process by fetching service data for a defined context from the database, generating a first set of feature vectors based on the fetched service data, and providing the first set to a machine-learning module. The system performs an online testing process by fetching active service data from the services supporting the media streaming service, generating a second set of feature vectors based on the fetched active service data, and providing the second set to the machine-learning module.

Abstract: Systems and methods for reconfiguration of a hardened intellectual property (IP) block in an integrated circuit (IC) device are provided. Reconfiguration of the hardened IP block in the IC device may transition between functions supported by the hardened IP block. A transition may occur as a pre-configured profile is selected to reconfigure the hardened IP block. Further, configuration data associated with each of the pre-configured profiles of the hardened IP block may be generated and storage space to store the configuration data may be created. Additionally, reconfiguration control logic to read and implement the configuration data in hard IP design primitives may also be generated.

Abstract: The present disclosure features methods and systems for updating a taskbar, generated and displayed by a local computer, with a user interface element representative of a remote application executing on a remote computer and application output generated by the remote application. These methods and system include a local client receiving application output generated by a remote application and remote window configuration information, generating an application output window comprising local taskbar grouping configuration information, and updating a taskbar responsive to the local taskbar grouping configuration information.

Abstract: A method for optimizing resources on a web server is provided. A web page may include areas for displaying content that is time consuming to retrieve. The content may be geographically far away or the content server itself may be slow. A caching proxy between the web server and the content server responds to requests for data immediately, with or without the data requested from the cache. On a cache miss, the caching proxy asynchronously retrieves data so that the next time the same content is requested, the data should be available in the cache. Asynchronous retrieval means that no valuable resources are tied up on the web server while waiting for the content to be provided from the content server. The initial web page sent from the web server to the web browser includes retry logic. The data may be retrieved from the cache during one of the retries.

Abstract: The present disclosure features methods and systems for updating a taskbar, generated and displayed by a local computer, with a user interface element representative of a remote application executing on a remote computer and application output generated by the remote application. These methods and system include a local client receiving application output generated by a remote application and remote window configuration information, generating an application output window comprising local taskbar grouping configuration information, and updating a taskbar responsive to the local taskbar grouping configuration information.

Abstract: The present disclosure features methods and systems for updating a taskbar, generated and displayed by a local computer, with a user interface element representative of a remote application executing on a remote computer and application output generated by the remote application. These methods and system include a local client receiving application output generated by a remote application and remote window configuration information, generating an application output window comprising local taskbar grouping configuration information, and updating a taskbar responsive to the local taskbar grouping configuration information.

Abstract: Methods and system for customizing a webpage include generating a schematic representation of the webpage wherein the webpage includes a plurality of section elements that are customizable. The schematic representation identifies a plurality of schematic section elements corresponding to the plurality of section elements of the webpage. The schematic representation is rendered for the webpage and provides visual navigation through various section elements of the webpage. A schematic section element is selected from the schematic representation, for customizing. The selection of the schematic section element triggers rendering of respective one or more navigation links, which provide tools or options for customization. Changes representing customization to one or more attributes associated with the selected schematic section element are received and the attributes are updated at the schematic representation in real-time.

Abstract: A method for optimizing resources on a web server is provided. A web page may include areas for displaying content that is time consuming to retrieve. The content may be geographically far away or the content server itself may be slow. A caching proxy between the web server and the content server responds to requests for data immediately, with or without the data requested from the cache. On a cache miss, the caching proxy asynchronously retrieves data so that the next time the same content is requested, the data should be available in the cache. Asynchronous retrieval means that no valuable resources are tied up on the web server while waiting for the content to be provided from the content server. The initial web page sent from the web server to the web browser includes retry logic. The data may be retrieved from the cache during one of the retries.