Dynamic culling of matrix operations

This invention describes a way for a computer system to decide which parts of a calculation to skip. It does this by looking at an initial set of data and creating a simple on/off map (like a stencil). This map then tells the main processing unit to ignore certain parts of a second set of data, making the overall operation more efficient. The claims are very general, covering any system that uses electronic components and software to create such a binary mask to control data processing.

Why it matters: Filed just as large AI models began widespread deployment, the subsequent years have intensified the need for computational efficiency in inference. This generic method for dynamically skipping operations is now more relevant for optimizing complex AI systems in real-time applications like navigation and rendering.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic on custom or general-purpose circuitry.

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