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