7 results about "Tensor" patented technology

A system and method for latent hyperspace navigation in spatiotemporal media using hierarchical and Lorentzian autoencoders. The system compresses spatiotemporal media into navigable latent representations while preserving geometric and semantic relationships through tensor structure maintenance. A latent hyperspace manager organizes compressed representations as geodesic trajectories within a geometric manifold structure based on differential geometry principles. A geodesic trajectory mapper computes optimal navigation paths through the high-dimensional space, while symbolic anchors positioned at semantically significant locations serve as persistent reference points. Spatiotemporal routing protocols manage navigation decisions across multiple temporal scales. A strategy caching system preserves successful navigation patterns for reuse, enabling continuous learning. The system generates synthetic content during navigation to support infinite zoom capability, allowing exploration beyond original media boundaries. Cross-modal fusion combines diverse input modalities into unified representations, applicable to immersive media exploration, scientific visualization, and surveillance analysis.

Dimensional decomposition convolution systems and techniques are described. A system receives a tensor including a first number of dimensions. The system processes a variant of the tensor using a convolution function including a second number of dimensions to generate a processed tensor. The first number of dimensions is greater than the second number of dimensions. A plurality of dimensions from the first number of dimensions of the tensor are grouped into a dimension of the variant of the tensor to reduce dimensionality of the variant of the tensor to the second number of dimensions.

The invention discloses a cross-domain digital intelligence interpretation and creation method based on a double-series formula, and solves the technical problems that existing cross-domain interpretation is not supported by a unified rule and creation results are high in redundancy. The method comprises the following three steps: during quantization, selecting a CSCQF cross-domain consciousness mathematical quantization series formula, and standardizing and quantifying abstract cores such as consciousness, disease characteristics and cluster evolution logic to obtain a 3 * N-dimensional mathematical characteristic spectrum with a quantization error less than or equal to 5%; during deduction, the characteristic spectrum is substituted into the ultimate version of a too primary Omega spectrum isomorphic series formula v12, a cross-domain homologous too primary ground state rule is extracted through tensor product coupling and high-dimensional integration, and the rule adaptation degree is larger than or equal to 90%; and outputting an essential interpretation report or an original result during landing. Accurate quantification and regularization creation of cross-domain objects are achieved, effectiveness of achievements can be verified, and the method is suitable for multiple fields such as mathematical argumentation, clinical diagnosis and treatment, quantitative learning and AI artistic creation.

A system and method for latent hyperspace navigation in spatiotemporal media using hierarchical and Lorentzian autoencoders. The system compresses spatiotemporal media into navigable latent representations while preserving geometric and semantic relationships through tensor structure maintenance. A latent hyperspace manager organizes compressed representations as geodesic trajectories within a geometric manifold structure based on differential geometry principles. A geodesic trajectory mapper computes optimal navigation paths through the high-dimensional space, while symbolic anchors positioned at semantically significant locations serve as persistent reference points. Spatiotemporal routing protocols manage navigation decisions across multiple temporal scales. A strategy caching system preserves successful navigation patterns for reuse, enabling continuous learning. The system generates synthetic content during navigation to support infinite zoom capability, allowing exploration beyond original media boundaries. Cross-modal fusion combines diverse input modalities into unified representations, applicable to immersive media exploration, scientific visualization, and surveillance analysis.

A tensor of a first select dimension is reformatted to provide one or more sub-tensors of a second select dimension. The reformatting includes determining a number of sub-tensors to be used to represent the tensor. The reformatting further includes creating the number of sub-tensors, in which a sub-tensor is to start on a boundary of a memory unit. Data of the tensor is rearranged to fit within the number of sub-tensors.

The application discloses a capacity analysis method and system of an energy storage power supply, and the method comprises the following steps: obtaining an end voltage time sequence signal and constructing an original response manifold trajectory; extracting a geodesic curvature sequence and a geodesic torsion sequence of a smooth trajectory through Gaussian regularization convolution; mapping to a curvature-torsion phase space to obtain a point cloud distribution diagram; performing a coherence analysis to extract a set of persistent feature points; calculating the persistent entropy value and the life value of each feature point and constructing a two-dimensional persistent contribution vector, and obtaining a capacity degradation topological tensor through weighted tensor aggregation; calculating the current unit power topological distortion rate and comparing it with the initial value to obtain a distortion rate offset, and correcting the rated capacity to obtain the residual capacity. The application converts the capacity estimation into a manifold geometric topological analysis problem, does not depend on historical data and experience mapping, and has physical interpretability and working condition adaptability.

The invention discloses a relay protection setting value analysis and verification method and system, and relates to the technical field of relay protection, and the method comprises the steps: calculating the final coupling strength through employing an exponential coupling formula method, and constructing a coupling matrix through employing a coupling matrix standardization method; performing eigendecomposition on the updated manifold center by using a eigendecomposition verification method, organizing into a third-order tensor, calculating Gaussian kernel similarity between the fault feature and the historical fault feature by using a Gaussian kernel similarity calculation method, and generating a similarity score; and calculating constant value deviation and updating. By introducing differential geometry, information geometry and quantum state coupling theories, a modal covariance tensor model based on a symmetric positive definite manifold is constructed, an index coupling mechanism combining an inter-modal Riemannian distance, a tension index and disturbance coding is put forward, the structural integrity and coupling strength characterization capability of modal information fusion are improved, and the accuracy of modal information fusion is improved. And the scientificity and operability of constant value evaluation are enhanced.