PATENT CLAIM ANALYSIS

Application Number: 16171291
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["712", "222000"]

Abstract:
Aspects for matrix multiplication in neural network are described herein. The aspects may include a master computation module configured to receive a first matrix and transmit a row vector of the first matrix. In addition, the aspects may include one or more slave computation modules respectively configured to store a column vector of a second matrix, receive the row vector of the first matrix, and multiply the row vector of the first matrix with the stored column vector of the second matrix to generate a result element. Further, the aspects may include an interconnection unit configured to combine the one or more result elements generated respectively by the one or more slave computation modules to generate a row vector of a result matrix and transmit the row vector of the result matrix to the master computation module.

Claim (Index 8):
The apparatus of  claim 7 , wherein the interconnection unit is further configured to\n receive the result elements generated by the one or more slave computation modules; and combine the result elements to generate the row vector of the result matrix.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 97.0
- Lexical Diversity: 2.63636
- Patent Class: 712.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16039567', '16167425', '14644967', '15587831', '15792077']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6063414694240774
- 35 USC 102 Novelty (BERT): 0.5018756903803779
- Combined Prediction Score: 0.5958948915197074
- Mean Citation Score: 226.89437200000003
- Max Citation Score: 274.25943
- Similarity Product: 205.98489763360985

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test