Ram G Hariharan, Age 564604 Lake Washington Blvd, Kirkland, WA 98033

2004000, Jan 8, 2004

Jun 28, 2002

10/184215

Nicky Pike - Sammamish WA, US
Michio Nikaido - Issaquah WA, US
Ram Hariharan - Kirkland WA, US

G06F015/177

713/001000

Automated system setup includes automated configuration of an operating system on a computing device(s), automated configuration of custom software on a computing device(s), and/or automated configuration of a network switch(es). The various information used for the automated configuration(s) can also optionally be maintained for asset tracking purposes.

2022041, Dec 29, 2022

May 16, 2022

17/745671

- Menlo Park CA, US
Lin Sun - Kenmore WA, US
Ram Kumar Hariharan - Kirkland WA, US
Haidong Wang - Clyde Hill WA, US
Joshua Saylor McMullen - Kirkland WA, US
Mengxi Li - Bellevue WA, US
Long You Cai - Kirkland WA, US
Keith Diedrick - Kirkland WA, US
Crystal Annette Nakatsu Sung - Redmond WA, US
Xi Chen - San Jose CA, US
Debojeet Chatterjee - Sunnyvale CA, US
Sonal Gupta - Sunnyvale CA, US
Vikas Seshagiri Rao Bhardwaj - Seattle WA, US
Yashar Mehdad - Redwood City CA, US
Anuj Kumar - Kirkland WA, US
Ashish Garg - Bellevue WA, US
Justin Denney - San Francisco CA, US
Hakan Inan - Emerald Lake Hills CA, US
Iaroslav Markov - San Mateo CA, US
Surya Teja Appini - Mountain View CA, US
Bing Liu - Sunnyvale CA, US
Shusen Liu - Mountain View CA, US
Zhiqi Wang - Redmond WA, US
Alexander Kolmykov-Zotov - Sammamish WA, US

G10L 15/22
G06F 40/35

In one embodiment, a system includes an automatic speech recognition (ASR) module, a natural-language understanding (NLU) module, a dialog manager, one or more agents, an arbitrator, a delivery system, one or more processors, and a non-transitory memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to receive a user input, process the user input using the ASR module, the NLU module, the dialog manager, one or more of the agents, the arbitrator, and the delivery system, and provide a response to the user input.

2022020, Jun 30, 2022

Dec 30, 2020

17/138096

- Menlo Park CA, US
Hannes Luc Herman Verlinde - Ruislip, GB
Michael Slater - Nottingham, GB
Benjamin Patrick Blackburne - Baldock, GB
Ram Kumar Hariharan - Kirkland WA, US
Chunjie Jia - Bothell WA, US
Prakarn Nisarat - Seattle WA, US

G06T 19/00
G06F 3/0481
G10L 15/22

A computer-implemented method, comprising, by an artificial-reality (AR) design tool: receiving, through a user interface (UI) of the AR design tool, instructions to add a voice-command module to an AR effect, the voice-command module having an intent type and at least one slot, the slot associated with one or more entities; establishing, according to instructions received through the UI, a logical connection between the slot and a logic module configured to generate the AR effect depending on a runtime value associated with the slot; and generate, for the AR effect, an executable program configured to: determine that a detected utterance corresponds to the intent type and includes one or more words associated with the slot; select, based on the one or more words, one of the one or more entities as the runtime value for the slot; send the runtime value to the logic module according to the logical connection.

2018012, May 3, 2018

Nov 2, 2016

15/341916

- Menlo Park CA, US
Ram Kumar Hariharan - Kirkland WA, US
Lisa Jones - Seattle WA, US

G06F 17/30

An exemplary method to deduplicate redundant usage data for an application includes receiving, from a first source, a first set of usage data for an application. The method further includes receiving, from a second source, a second set of usage data for the application. The method further includes comparing data of the first set of usage data with data of the second set of usage data. In accordance with a determination that a degree of similarity between the first set of usage data and the second set of usage data satisfies a threshold, the method further includes providing a report regarding the application based on the first set of usage data.