ViaSat had 24 patents in digitalization during Q2 2024. ViaSat Inc’s patents in Q2 2024 focus on improving prefetch hinting using time-dependent, machine-generated hints to optimize resource usage in network transactions. They also involve monitoring network communication systems on vehicles, rendering and loading web pages efficiently, and improving utilization of a communications system through delayed reliability techniques in a multicast transport protocol. GlobalData’s report on ViaSat gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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ViaSat had no grants in digitalization as a theme in Q2 2024.

Recent Patents

Application: Time-dependent machine-generated hinting (Patent ID: US20240211680A1)

The patent filed by ViaSat Inc. focuses on improving prefetch hinting through the use of time-dependent, machine-generated hints. The system involves hinting machines collecting resource samples to develop information about resource usage in network transactions over time. These time-based samples are used to compute probabilities for resources, indicating the likelihood of a resource being used to render a web page in the future. Time-dependent hints are then generated based on these probabilities to optimize prefetching by considering the specific request time, enhancing the efficiency of rendering web pages.

The method outlined in the patent involves receiving resource samples, determining time-based probabilities, calculating the probability of a resource being fetched at a specific time, applying a decay function to adjust the probability based on time, and generating time-dependent hints for prefetching. The system also includes a communications subsystem to handle hinting requests from client machines, generating hinting responses based on request times, and communicating the time-dependent hints to the client machines. Additionally, the patent describes various functions of the decay function, such as square, exponential, or linear, to adjust the probabilities accordingly. Overall, the patent aims to enhance prefetching efficiency by utilizing time-dependent hints generated through machine learning algorithms based on resource usage patterns over time.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.