2 results about "Semantic analyzer" patented technology

A system for dynamic latent space adaptation using spatiotemporal kernel context for multiscale rendering with hierarchical and Lorentzian autoencoders. The Spatiotemporal Kernel Estimator (SKE) analyzes media through motion field, temporal recurrence, frequency band, and scene semantics analyzers to generate adaptive kernel parameters encoding content-specific importance distributions. The system dynamically adapts latent manifold geometry by modifying metric tensor properties according to kernel context, enabling content-aware compression that allocates representational capacity based on visual significance. A multiscale cache implements kernel-adaptive retention policies prioritizing important regions. An adaptive renderer provides intelligent level-of-detail selection based on zoom level and kernel-estimated importance, optimizing processing allocation. The self-optimizing architecture continuously refines kernel context and geometric adaptation based on user interaction and performance feedback, achieving superior compression ratios and perceptual quality. Applications include bandwidth-efficient video streaming, virtual reality, scientific visualization, and cognitive video analytics requiring intelligent context-aware visual processing.

The application discloses a kind of legal document generation method and device, electronic equipment, storage medium, it is related to legal document generation technical field or other related fields, wherein, the method comprises: receiving first language case information and legal document generation demand;First language case information is analyzed by the semantic analyzer corresponding to first language, and the case elements of target case are obtained, and first language case information is translated by translator, and second language case information is obtained;Case elements are based on inquiring target legal knowledge base, and the query result is obtained;Target document template is determined based on legal document generation demand, and target legal document is generated based on target document template, second language case information, case elements and query result.The present application solves the technical problems that related art cannot accurately understand and convert professional legal terms and context in the process of cross-language generation of legal documents, leading to inaccurate or even non-compliant legal documents.