PATENT CLAIM ANALYSIS

Application Number: 16250148
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-06
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 a computation module that includes one or more bitwise processors and a combiner. The bitwise processors may be configured to perform bitwise operations between each of the first elements and a corresponding one of the second elements to generate one or more operation results. The combiner may be configured to combine the one or more operation results into an output vector.

Claim (Index 16):
The method of  claim 15 , further comprising retrieving, by a direct memory access unit, the first vector and the second vector from a storage device based on the starting address of the first vector, the length of the first vector, the starting address of the second vector, and the length of the second vector.

Metadata:
- Claim Count in Document: 62.0
- Percentile: 99.0
- Lexical Diversity: 2.30769
- Patent Class: 712.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['16172533', '16172592', '16172515', '16171291', '16167425']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5857362682371555
- 35 USC 102 Novelty (BERT): 0.4860350838438445
- Combined Prediction Score: 0.5757661497978244
- Mean Citation Score: 231.456632
- Max Citation Score: 247.43349
- Similarity Product: 198.60990285606087

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

Dataset: test