PATENT CLAIM ANALYSIS

Application Number: 16174155
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-03
Patent Classification: ["706", "031000"]

Abstract:
Aspects for forward propagation of a convolutional artificial neural network are described herein. The aspects may include a direct memory access unit configured to receive input data from a storage device and a master computation module configured to select one or more portions of the input data based on a predetermined convolution window. Further, the aspects may include one or more slave computation modules respectively configured to convolute a convolution kernel with one of the one or more portions of the input data to generate a slave output value. Further still, the aspects may include an interconnection unit configured to combine the one or more slave output values into one or more intermediate result vectors, wherein the master computation module is further configured to merge the one or more intermediate result vectors into a merged intermediate vector.

Claim (Index 13):
The apparatus of  claim 10 , wherein the convolution network relu instruction includes a first address of the one or more portions of the input data, a first size of the one or more portions of the input data, a second address of the portion of the convolution kernel, a second size of the portion of the convolution kernel, and an indication of a relu function as an activation function.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 97.0
- Lexical Diversity: 2.02817
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16174165', '16039567', '16171291', '16167425', '15719829']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.373372028588346
- 35 USC 102 Novelty (BERT): 0.5577784039981143
- Combined Prediction Score: 0.3918126661293228
- Mean Citation Score: 278.383638
- Max Citation Score: 421.01263
- Similarity Product: 354.3997887315202

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