Oracle International Corporation Patent Portfolio Statistics

Oracle International Corporation

Profile Summary

This article summarizes the perfomance of the assignee in the recent years. The overall statistics for this portfolio help to analyze the areas where the assignee is performing well. The filing trend, perfomance across the tech centers and the perfomance of the recent applications has been mentioned below. All the stats are calculated based on the perfomance in USPTO.

How does the overall patent portfolio of Oracle International Corporation look like?

Total Applications: 10,849
Granted Patents: 8,777
Grant Index 91.53 %
Abandoned/Rejected Applications: 812 (8.47%)
In-Process Applications: 1,233
Average Grant Time: 3.79 Years
Average Office Actions: 2.45

Which Technology Area Oracle International Corporation is filing most patents in? (Last 10 years)

Art Unit Definition Total Applications
Opap Parked GAU 260
2162 Data Bases & File Management 250
2191 Interprocess Communication and Software Development 250
2168 Data Bases & File Management 239
2163 Data Bases & File Management 234

How many patents are Oracle International Corporation filing every year?

Year Total Applications
2022 0*
2021 231*
2020 580
2019 513
2018 516

*The drop in the number of applications filed in last two years compared to previous years is because applications can take up to 18 months to get published

Recently filed patent applications of Oracle International Corporation in USPTO?

Publication number: US20220027746A1
Application number: 17/499,945

Abstract:
Herein, horizontally scalable techniques efficiently configure machine learning algorithms for optimal accuracy and without informed inputs. In an embodiment, for each particular hyperparameter, and for each epoch, a computer processes the particular hyperparameter. An epoch explores one hyperparameter based on hyperparameter tuples. A respective score is calculated from each tuple. The tuple contains a distinct combination of values, each of which is contained in a value range of a distinct hyperparameter. All values of a tuple that belong to the particular hyperparameter are distinct. All values of a tuple that belong to other hyperparameters are held constant. The value range of the particular hyperparameter is narrowed based on an intersection point of a first line based on the scores and a second line based on the scores. A machine learning algorithm is optimally configured from repeatedly narrowed value ranges of hyperparameters. The configured algorithm is invoked to obtain a result.

Publication date: 2022-01-27
Applicant: Oracle International Corporation
Inventors: Agrawal Sandeep


Publication number: US20220027344A1
Application number: 17/496,208

Abstract:
Described herein are systems and methods for supporting SQL-based rich queries in a blockchain fabric. In accordance with an embodiment, the systems and methods provided herein provide the ability to execute SQL queries to allow for the creation of complex smart contracts much easier and more maintainable manner. Also, performance is improved both by pushing the data filtering back to the storage engine (rather than happening at the smart contract level), and by being able to rely on relational engines which support concurrent read and write data access. As well, the state of the world database can also provide for concurrent read/write access.

Publication date: 2022-01-27
Applicant: Oracle International Corporation
Inventors: Carlo Innocenti


Publication number: US20220027381A1
Application number: 17/494,233

Abstract:
In accordance with an embodiment, described are systems and methods for real time data aggregation in a virtual cube in a multidimensional database. A method can provide, at a computer that includes one or more microprocessors, a multidimensional database server executing on the computer, wherein the multidimensional database server supports at least one multidimensional cube, a data source associated with the multidimensional cube, and at least one source of real-time data accessible by the data source. The method can query, by the multidimensional cube, the data source, the query comprising an identification of the at least one source of real-time data. The method can provide, by the data source, on-demand access to the multidimensional cube to the at least one source of real-time data. The method can use targeted data from the at least one source of real-time data within the multidimensional cube without being stored therein.

Publication date: 2022-01-27
Applicant: Oracle International Corporation
Inventors: Natasha Reichman


How are Oracle International Corporation’s applications performing in USPTO?

Application Number Title Status Art Unit Examiner
17/499,945 Gradient-Based Auto-Tuning For Machine Learning And Deep Learning Models OPAP Central, Docket
17/496,208 System And Method For Supporting Sql-Based Rich Queries In Hyperledger Fabric Blockchains OPAP Central, Docket
17/494,233 System And Method For Real Time Data Aggregation In A Virtual Cube In A Multidimensional Database Environment OPAP Central, Docket
17/494,161 System And Method For Rare Copy-On-Write In A Distributed Computing Environment OPAP Central, Docket
17/493,773 Methods For Fabrication, Manufacture And Production Of Energy Harvesting Components And Devices OPAP Central, Docket