PATENT CLAIM ANALYSIS

Application Number: 16041497
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-04
Patent Classification: ["706", "025000"]

Abstract:
A device, system, and method is provided for storing a sparse neural network. A plurality of weights of the sparse neural network may be obtained. Each weight may represent a unique connection between a pair of a plurality of artificial neurons in different layers of a plurality of neuron layers. A minority of pairs of neurons in adjacent neuron layers are connected in the sparse neural network. Each of the plurality of weights of the sparse neural network may be stored with an association to a unique index. The unique index may uniquely identify a pair of artificial neurons that have a connection represented by the weight. Only non-zero weights may be stored that represent connections between pairs of neurons (and zero weights may not be stored that represent no connections between pairs of neurons).

Claim (Index 21):
A system for efficiently storing a sparse neural network, the system comprising:\n one or more processors configured to obtain a sparse neural network of a plurality of weights, each weight representing a unique connection between a pair of a plurality of artificial neurons in different layers of a plurality of neuron layers, wherein a minority of pairs of neurons in adjacent neuron layers are connected by weights in the sparse neural network; and one or more memories configured to store each of the plurality of weights of the sparse neural network with an association to a unique index, the unique index uniquely identifying a pair of artificial neurons that have a connection represented by the weight, wherein only non-zero weights are stored that represent connections between pairs of neurons and zero weights are not stored that represent no connections between pairs of neurons.

Metadata:
- Claim Count in Document: 77.0
- Percentile: 95.0
- Lexical Diversity: 2.39344
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12158134', '14449101', '15055161', '14699778', '14513497']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3895751554216506
- 35 USC 102 Novelty (BERT): 0.4910013411600727
- Combined Prediction Score: 0.3997177739954928
- Mean Citation Score: 238.614632
- Max Citation Score: 249.7984
- Similarity Product: 190.7175881462097

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