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3 results about "Group code" patented technology

In coding theory, group codes are a type of code. Group codes consist of n linear block codes which are subgroups of Gⁿ, where G is a finite Abelian group. A systematic group code C is a code over Gⁿ of order |G|ᵏ defined by n-k homomorphisms which determine the parity check bits. The remaining k bits are the information bits themselves.

A bulletin board interaction pickup method and system based on block coding

The application relates to the technical field of graphics processing, and particularly discloses a bulletin board interaction pickup method and system based on grouping coding. In view of the problem that a traditional bulletin board pickup scheme needs to repeatedly render or additionally use 32-bit textures, resulting in large GPU performance loss and poor real-time performance in a massive bulletin board scene, the application first continuously divides bulletin boards B1 to Bn into at most 256 groups, and batch renders the bulletin boards to a texture T0, wherein the R, G and B channels store colors, and the A channel stores group IDs; then the dynamic bulletin board is redrawn, the A channel of a T0 point selected pixel is sampled to obtain a group ID, the absolute bulletin board ID is calculated by combining the relative number, the position information is called according to the absolute ID, the position information is rendered to 1x1 pixels and is subjected to a depth test to retain the nearest ID, and finally, the CPU reads and decodes the ID to complete the pickup. The method does not need additional textures or repeated rendering, greatly reduces the GPU load, improves the pickup accuracy and real-time performance, and adapts to the interaction demand of massive bulletin boards in a BIM scene.
Owner:上海秉匠信息科技有限公司

Detection and filtration of phantom packages in large language model generated code

Aspects of the present disclosure relate to detecting and filtering packages in large language models. Embodiments include generating a first set of code using a large language model. Embodiments further include comparing packages used in the first set of code to certain packages contained in one or more known lists. Embodiments further include identifying a list of phantom packages based on the comparing. Embodiments further include prompting the large language model to generate a second set of code. Embodiments further include analyzing the second set of code based on the list of phantom packages. Embodiments further include determining, based on the analyzing, not to display the second set of code via a user interface.
Owner:INTUIT INC