PATENT CLAIM ANALYSIS

Application Number: 16172592
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-03
Patent Classification: ["712", "007000"]

Abstract:
Aspects for vector operations in neural network are described herein. The aspects may include a vector caching unit configured to store a first vector and a second vector, wherein the first vector includes one or more first elements and the second vector includes one or more second elements. The aspects may further include one or more adders and a combiner. The one or more adders may be configured to respectively add each of the first elements to a corresponding one of the second elements to generate one or more addition results. The combiner may be configured to combine a combiner configured to combine the one or more addition results into an output vector.

Claim (Index 17):
The method of  claim 16 , further comprising storing, by a storage queue module of the controller unit, the scalar-subtract-vector instruction while the dependency processing unit is determining whether the scalar-subtract-vector instruction has the dependency relationship with the one or more previously received instructions.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 97.0
- Lexical Diversity: 2.47917
- Patent Class: 712.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['16172515', '16172533', '16167425', '16171291', '16039567']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5482329962016965
- 35 USC 102 Novelty (BERT): 0.5210320704149606
- Combined Prediction Score: 0.545512903623023
- Mean Citation Score: 265.275444
- Max Citation Score: 324.46796
- Similarity Product: 249.33783639270305

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test