Improbable Worlds has been granted a patent for methods and systems involving query-based interest in simulations. The technology allows for entities to be simulated and modified to include query subscriptions to an entity database, enabling the qualification of other entities for inclusion in query results based on specified criteria. GlobalData’s report on Improbable Worlds gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Improbable Worlds, AI assisted CAD was a key innovation area identified from patents. Improbable Worlds's grant share as of April 2024 was 62%. Grant share is based on the ratio of number of grants to total number of patents.

Simulation with query-based interest in entities

Source: United States Patent and Trademark Office (USPTO). Credit: Improbable Worlds Ltd

A recently granted patent (Publication Number: US11936734B2) discloses a computer-readable medium storing instructions that, when executed by processors, simulate entities with various components and modify them to include interest components. These interest components indicate query subscriptions to an entity database, with each query containing a distance parameter to qualify the inclusion of a second entity in the query result. The patent further details the simulation of entities on workers, the use of bridges for data communication, and the assignment of workers to different bridges for efficient processing.

Additionally, the patent describes the inclusion of query types such as numeric ranges, bounding boxes, and projections in the queries. It also covers scenarios where queries include component values that determine entity inclusion in query results and frequencies for receiving updates from the entity database. The patent extends to a simulation system comprising a data store, virtual servers with worker processes simulating entities, bridges for data communication, and a simulation runtime managing worker processes. The system allows for the assignment of workers to bridges, updating query subscriptions, and handling queries with different frequencies and component values, emphasizing the efficient simulation of entities in a virtual environment.

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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.