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Google Inc Patent Portfolio Statistics

Google Inc

Google Inc`s Profile

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 Google Inc look like?

Total Applications: 267
Granted Patents: 224
Grant Index 89.6 %
Abandoned/Rejected Applications: 26 (10.4%)
In-Process Applications: 17
Average Grant Time: 2.91 Years
Average Office Actions: 1.61

Which Technology Area Google Inc is filing most patents in? (Last 10 years)

Art Unit Definition Total Applications
2618 Computer Graphic Processing, 3D Animation, Display Color Attribute, Object Processing, Hardware and Memory 10
2617 Computer Graphic Processing, 3D Animation, Display Color Attribute, Object Processing, Hardware and Memory 6
2142 Graphical User Interface and Document Processing 5
2419 5
2657 Videophones & Telephonic Communications 5

How many patents are Google Inc filing every year?

Year Total Applications
2022 0*
2021 3*
2020 10
2019 23
2018 33

*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 Google Inc in USPTO?

Publication number:

Abstract:
None

Publication date:
Applicant: Google Inc
Inventors: Gaetan Pennecot


Publication number: US20220004929A1

Abstract:
The present disclosure provides systems and methods for on-device machine learning. In particular, the present disclosure is directed to an on-device machine learning platform and associated techniques that enable on-device prediction, training, example collection, and/or other machine learning tasks or functionality. The on-device machine learning platform can include a context provider that securely injects context features into collected training examples and/or client-provided input data used to generate predictions/inferences. Thus, the on-device machine learning platform can enable centralized training example collection, model training, and usage of machine-learned models as a service to applications or other clients.

Publication date: 2022-01-06
Applicant: Google Inc
Inventors: Pannag Sanketi


Publication number: US20210203560A1

Abstract:
This disclosure provides systems and methods for routing and topology management of computer networks with steerable beam antennas. A network controller can generate an input graph for a first time period. The input graph can have a plurality of vertices each representing a respective moving node and a plurality of edges each representing a possible link between a pair of moving nodes. The input graph also can include corresponding location information for each of the moving nodes during the first time period. A solver module can receive information corresponding to the input graph, a maximum degree for each vertex in the input graph, and a set of provisioned network flows. The solver module can determine a subgraph representing a network topology based on the input graph, the maximum degree for each vertex in the input graph, and the set of provisioned network flows, such that a number of edges associated with each vertex in the subgraph does not exceed the maximum degree for each vertex.

Publication date: 2021-07-01
Applicant: Google Inc
Inventors: Gu Yaoyao


How are Google Inc’s applications performing in USPTO?

Application Number Title Status Art Unit Examiner
17538574 Devices And Methods For A Rotating Lidar Platform With A Shared Transmit/Receive Path Docketed New Case – Ready for Examination 3993 Lillis, Eileen Dunn
17479364 On-Device Machine Learning Platform Docketed New Case – Ready for Examination OPAP Central, Docket
17183667 Systems And Methods For Routing And Topology Management Of Computer Networks With Steerable Beam Antennas Docketed New Case – Ready for Examination OPAP Central, Docket
16825467 Systems And Methods For Improving Tolerance Of Delay And Disruption Of A Control-To-Data-Plane Interface In A Software-Defined Network Docketed New Case – Ready for Examination 3992 Corsaro, Nick
16825402 Systems And Methods For Improving Tolerance Of Delay And Disruption Of A Control-To-Data-Plane Interface In A Software-Defined Network Docketed New Case – Ready for Examination 3992 Corsaro, Nick