PATENT CLAIM ANALYSIS

Application Number: 15955426
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["708", "200000"]

Abstract:
A neural network engine comprises a plurality of floating point multipliers, each having an input connected to an input map value and an input connected to a corresponding kernel value. Pairs of multipliers provide outputs to a tree of nodes, each node of the tree being configured to provide a floating point output corresponding to either: a larger of the inputs of the node; or a sum of the inputs, one output node of the tree providing a first input of an output module, and one of the multipliers providing an output to a second input of the output module. The engine is configured to process either a convolution layer of a neural network, an average pooling layer or a max pooling layer according to the kernel values and whether the nodes and output module are configured to output a larger or a sum of their inputs.

Claim (Index 6):
A neural network engine according to  claim 1 , wherein when said engine is configured to process a peak finding layer of a neural network, each of said kernel values comprises a value equal to 1, said nodes are configured to output a larger of their inputs and said output module is configured to output a larger of its first and second inputs as said output of said output module, and wherein said engine is configured to provide an image value from within said M\u00d7N window corresponding to said pixel as an input to said one of said M\u00d7N multipliers providing its output to said second input of said output module.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 91.0
- Lexical Diversity: 2.66102
- Patent Class: 708.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15234851', '15423292', '15719829', '15600807', '15423289']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4100937601999881
- 35 USC 102 Novelty (BERT): 0.5011407006595374
- Combined Prediction Score: 0.4191984542459431
- Mean Citation Score: 197.769296
- Max Citation Score: 207.22314
- Similarity Product: 149.04514947507974

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

Dataset: test