PATENT CLAIM ANALYSIS

Application Number: 15991769
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-07
Patent Classification: ["701", "023000"]

Abstract:
Systems and methods for automatically self-correcting or correcting in real-time one or more neural networks after detecting a triggering event, or breaching boundary conditions are provided. Such a triggering event may indicate incorrect output signal or data being generated by the one or more neural networks. In particular, machine controllers of the invention limit the operations of neural networks to be within boundary conditions. Autonomous machines of the invention can be self-corrected after a breach of a boundary condition is detected. Autonomous land vehicles of the invention are capable of determining the timing of automatic transition to the manual control from automated driving mode. The controller of the invention filters and saves input-output data sets that fall within boundary conditions for later training of neural networks. The controllers of the invention include security architectures to prevent damages from virus attacks or system malfunctions.

Claim (Index 16):
The computer-implemented method of  claim 10 , further comprising:\n receiving, from a machine recognizable human speech part, information identifying the predetermined condition; and defining the predetermined condition based at least in part on the information received from the machine recognizable human speech part.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 93.0
- Lexical Diversity: 1.72727
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13281343', '14848283', '14691439', '14863410', '15630275']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4329744822531418
- 35 USC 102 Novelty (BERT): 0.4870816184948386
- Combined Prediction Score: 0.4383851958773114
- Mean Citation Score: 150.522696
- Max Citation Score: 155.18778999999995
- Similarity Product: 97.11308011590836

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