PATENT CLAIM ANALYSIS

Application Number: 16100133
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-03
Patent Classification: ["714", "006120"]

Abstract:
Predictive memory maintenance in accordance with one aspect of the present description, can anticipate a failure of a selected primary memory die of an array, and pre-load a spare memory die with the data of the selected primary memory die deemed to have a likelihood of failure, prior to any actual failure of the selected memory die. In the event that the selected primary memory die does subsequently fail, the spare memory die pre-loaded with the data of the selected primary memory die can readily take the place of the failed primary memory die with a pre-existing copy of the data of the failed primary memory die. Other aspects are described herein.

Claim (Index 41):
A system comprising:\n a memory device including a memory die; a memory controller including:\n logic to: \n determine that the memory die has a performance characteristic indicative of future failure, \n select the memory die for potential replacement, and \n prior to failure, copy data from the memory die with the performance characteristic indicative of future failure to spare space; \n wherein memory accesses to the memory die continue after the memory die is determined to have the performance characteristic indicative of failure but before failure of the memory die.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 96.0
- Lexical Diversity: 2.28846
- Patent Class: 714.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14976921', '15205080', '14270527', '14463905', '14866506']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2820426432124097
- 35 USC 102 Novelty (BERT): 0.532510320505829
- Combined Prediction Score: 0.3070894109417517
- Mean Citation Score: 215.82357
- Max Citation Score: 381.16846
- Similarity Product: 306.97079524939886

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

Dataset: test