PATENT CLAIM ANALYSIS

Application Number: 16045814
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-04
Patent Classification: ["707", "687000"]

Abstract:
Ensuring reproducibility in an artificial intelligence infrastructure that includes one or more storage systems and one or more graphical processing unit (‘GPU’) servers, including: identifying, by a unified management plane, one or more transformations applied to a dataset by the artificial intelligence infrastructure, wherein applying the one or more transformations to the dataset causes the artificial intelligence infrastructure to generate a transformed dataset; storing, within the one or more storage systems, information describing the dataset, the one or more transformations applied to the dataset, and the transformed dataset; identifying, by the unified management plane, one or more machine learning models executed by the artificial intelligence infrastructure using the transformed dataset as input; and storing, within the one or more storage systems, information describing one or more machine learning models executed using the transformed dataset as input.

Claim (Index 16):
The apparatus of  claim 15  further comprising computer program instructions that, when executed by the computer processor, cause the apparatus to carry out the steps of:\n identifying, by the unified management plane, differences between a machine learning model and a machine learning model previously executed by the artificial intelligence infrastructure; and \n storing, within the one or more storage systems, only the portion of the machine learning model that differs from the machine learning models previously executed by the artificial intelligence infrastructure.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 95.0
- Lexical Diversity: 2.80357
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16046337', '16040996', '16046102', '16040846', '15883333']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2504617649275337
- 35 USC 102 Novelty (BERT): 0.5372501530371872
- Combined Prediction Score: 0.2791406037384991
- Mean Citation Score: 358.15285000000006
- Max Citation Score: 393.57605
- Similarity Product: 324.16000015334487

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