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3 results about "Tensor" patented technology

In mathematics, a tensor is an algebraic object that describes a linear mapping from one set of algebraic objects to another. Objects that tensors may map between include, but are not limited to vectors and scalars, and, recursively, even other tensors (for example, a matrix is a map between vectors, and is thus a tensor. Therefore a linear map between matrices is also a tensor). Tensors are inherently related to vector spaces and their dual spaces, and can take several different forms – for example: a scalar, a tangent vector at a point, a cotangent vector (dual vector) at a point, or a multi-linear map between vector spaces.

Cross-domain digital intelligence interpretation and creation method based on double-series formula

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.
Owner:蒋国英

Systems and methods for latent hyperspace navigation in spatiotemporal media

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.
Owner:ATOMBEAM TECH INC

Reformatting of tensors to provide sub-tensors

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.
Owner:INTERNATIONAL BUSINESS MACHINE CORPORATION