PATENT CLAIM ANALYSIS

Application Number: 15951169
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["706", "028000"]

Abstract:
A deep learning image processing system contains at least first and second groups of cellular neural networks (CNN) based integrated circuits (ICs). The first group and the second group are operatively connected in parallel via a network bus. CNN based ICs within each of the first and second groups are operatively connected in series via the network bus. The first group is configured for performing convolutional operations in respective portions of a deep learning model for extracting features out of a first subsection of input data. The second group is configured for performing convolutional operations in respective portions of the deep learning model for extracting features out of a second subsection of the input data. The deep learning model is divided into a plurality of consecutive portions being handled by the respective CNN based ICs. The input data is partitioned into at least first and second subsections.

Claim (Index 13):
The system of  claim 9 , wherein the first subsection and the second subsection of the input data include at least one overlapped row and column at respective borders with a thickness of one-pixel.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 91.0
- Lexical Diversity: 2.46875
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15897143', '15910005', '15920842', '15941514', '15820253']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4268063028027493
- 35 USC 102 Novelty (BERT): 0.5328624344507845
- Combined Prediction Score: 0.4374119159675529
- Mean Citation Score: 341.730922
- Max Citation Score: 352.88116
- Similarity Product: 235.5682258191228

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

Dataset: test