PATENT CLAIM ANALYSIS

Application Number: 15892658
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-05
Patent Classification: ["257", "051000"]

Abstract:
A synaptic semiconductor device and neural networks using the same operates with an ultrahigh speed through a tunneling operation by a semi-floating gate and applies pre- and post-synaptic signals to first and second control gates directly.

Claim (Index 9):
Neural networks using a plurality of synaptic semiconductor devices of  claim 7 ,\n wherein the plurality of synaptic semiconductor devices are arranged in one or more layers having an M\u00d7N array per layer, wherein first control gates of synaptic semiconductor devices arranged in an i-th row among the plurality of synaptic semiconductor devices arranged in the M\u00d7N array are connected to an i-th pre-synapse neuron signal line arranged in a row direction, wherein second control gates and drain regions of synaptic semiconductor devices arranged in a j-th column among the plurality of synaptic semiconductor devices arranged in the M\u00d7N array are respectively connected to a j-th post-synapse neuron dendrite signal line and a j-th post-synapse neuron axon signal line arranged side by side in a column direction, and wherein source regions of the plurality of synaptic semiconductor devices arranged in the M\u00d7N array are connected to ground or a common ground line.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 88.0
- Lexical Diversity: 1.12121
- Patent Class: 257.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14018693', '14635051', '15703366', '13490699', '14213368']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9101320582590828
- 35 USC 102 Novelty (BERT): 0.500810443861953
- Combined Prediction Score: 0.8691998968193699
- Mean Citation Score: 217.790002
- Max Citation Score: 234.63853
- Similarity Product: 175.65823689600944

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