PATENT CLAIM ANALYSIS

Application Number: 16268479
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-08
Patent Classification: ["706", "012000"]

Abstract:
Aspects for processing data segments in neural networks are described herein. The aspects may include a computation module capable of performing operations between two vectors with a limited count of elements. When a data I/O module receives neural network data represented in a form of vectors that includes elements more than the limited count, a data adjustment module may be configured to divide the received vectors into shorter segments such that the computation module may be configured to process the segments sequentially to generate results of the operations.

Claim (Index 1):
An apparatus for neural network processing, comprising:\n a computation module capable of performing operations between two vectors in accordance with one or more instructions, wherein each of the two vectors includes at most a count of multiple reference elements; a data input/output (I/O) module configured to:\n receive neural network data formatted in a first vector and a second vector,\n wherein the first vector includes multiple first elements, and \n wherein the second vector includes multiple second elements, and \n \n determine that at least one of a count of the first elements or a count of the second element is greater than the count of the reference elements; and \n a data adjustment module configured to:\n respectively divide the first vector and the second vector into one or more first segments and one or more second segments, and \n transmit the one or more first segments and the one or more second segments to the computation module, wherein the computation module is configured to respectively perform the operations between the one or more first segments and the one or more second segments.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 99.0
- Lexical Diversity: 1.67273
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['16172533', '16172592', '16172515', '16039567', '16268457']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3676771514689744
- 35 USC 102 Novelty (BERT): 0.4606734221290732
- Combined Prediction Score: 0.3769767785349843
- Mean Citation Score: 174.190356
- Max Citation Score: 184.8815
- Similarity Product: 154.41497045281528

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