Patent ID: 11948093
Assignee: RAMOT AT TEL-AVIV UNIVERSITY LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. A computer-implemented method, comprising:
obtaining, by a system operatively coupled to a processor, training tensor-formatted input data; and
training, by the system, using a Hamiltonian forward propagation process and the training tensor-formatted input data, a neural network comprising a graph of nodes connected via weighted edges to evolve tensor-formatted input data based on a defined tensor-tensor layer evolution rule, wherein the training employs a first subset of the training tensor-formatted input data having a first type of tensor format in response to the neural network using an M-product based on a invertible linear transformation, and wherein the training employs a second subset of the training tensor-formatted input data having a second type of tensor format in response to the neural network using a t-product based on a circulant convolution.