PATENT CLAIM ANALYSIS

Application Number: 16145077
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["706", "033000"]

Abstract:
Systems and/or devices for efficient and intuitive methods for implementing artificial neural networks specifically designed for parallel AI processing are provided herein. In various implementations, the disclosed systems, devices, and methods complement or replace conventional systems, devices, and methods for parallel neural processing that (a) greatly reduce neural processing time necessary to process more complex problem sets; (b) implement neuroplasticity necessary for self-learning; and (c) introduce the concept and application of implicit memory, in addition to explicit memory, necessary to imbue an element of intuition. With these properties, implementations of the disclosed invention make it possible to emulate human consciousness or awareness.

Claim (Index 4):
The first sub-classifier of  claim 1 , wherein the first output signal from the first sub-classifier is transmitted to a second sub-classifier.

Metadata:
- Claim Count in Document: 22.0
- Percentile: 97.0
- Lexical Diversity: 1.59211
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13756372', '11504390', '10642422', '15703027', '14558414']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3257169543609987
- 35 USC 102 Novelty (BERT): 0.5015712569865782
- Combined Prediction Score: 0.3433023846235566
- Mean Citation Score: 171.348682
- Max Citation Score: 188.68329
- Similarity Product: 117.8713753212458

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

Dataset: test