Patents by Inventor Lucas Mirelmann
Lucas Mirelmann has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240112679Abstract: Methods, apparatus, and computer readable media are described related to automated assistants that proactively incorporate, into human-to-computer dialog sessions, unsolicited content of potential interest to a user. In various implementations, in an existing human-to-computer dialog session between a user and an automated assistant, it may be determined that the automated assistant has responded to all natural language input received from the user. Based on characteristic(s) of the user, information of potential interest to the user or action(s) of potential interest to the user may be identified. Unsolicited content indicative of the information of potential interest to the user or the action(s) may be generated and incorporated by the automated assistant into the existing human-to-computer dialog session.Type: ApplicationFiled: December 14, 2023Publication date: April 4, 2024Inventors: Ibrahim Badr, Zaheed Sabur, Vladimir Vuskovic, Adrian Zumbrunnen, Lucas Mirelmann
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Patent number: 11948576Abstract: Implementations can reduce the time required to obtain responses from an automated assistant through proactive caching, locally at a client device, of proactive assistant cache entries—and through on-device utilization of the proactive assistant cache entries. Different proactive cache entries can be provided to different client devices, and various implementations relate to technique(s) utilized in determining which proactive cache entries to provide to which client devices. In some of those implementations, in determining which proactive cache entries to provide (proactively or in response to a request) to a given client device, a remote system selects, from a superset of candidate proactive cache entries, a subset of the cache entries for providing to the given client device.Type: GrantFiled: April 18, 2023Date of Patent: April 2, 2024Assignee: GOOGLE LLCInventors: Daniel Cotting, Zaheed Sabur, Lan Huo, Bryan Christopher Horling, Behshad Behzadi, Lucas Mirelmann, Michael Golikov, Denis Burakov, Steve Cheng, Bohdan Vlasyuk, Sergey Nazarov, Mario Bertschler, Luv Kothari
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Patent number: 11900944Abstract: Implementations set forth herein relate to a system that employs an automated assistant to further interactions between a user and another application, which can provide the automated assistant with permission to initialize relevant application actions simultaneous to the user interacting with the other application. Furthermore, the system can allow the automated assistant to initialize actions of different applications, despite being actively operating a particular application. Available actions can be gleaned by the automated assistant using various application-specific schemas, which can be compared with incoming requests from a user to the automated assistant. Additional data, such as context and historical interactions, can also be used to rank and identify a suitable application action to be initialized via the automated assistant.Type: GrantFiled: January 31, 2022Date of Patent: February 13, 2024Assignee: GOOGLE LLCInventors: Denis Burakov, Behshad Behzadi, Mario Bertschler, Bohdan Vlasyuk, Daniel Cotting, Michael Golikov, Lucas Mirelmann, Steve Cheng, Sergey Nazarov, Zaheed Sabur, Marcin Nowak-Przygodzki, Mugurel Ionut Andreica, Radu Voroneanu
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Patent number: 11887594Abstract: Methods, apparatus, and computer readable media are described related to automated assistants that proactively incorporate, into human-to-computer dialog sessions, unsolicited content of potential interest to a user. In various implementations, in an existing human-to-computer dialog session between a user and an automated assistant, it may be determined that the automated assistant has responded to all natural language input received from the user. Based on characteristic(s) of the user, information of potential interest to the user or action(s) of potential interest to the user may be identified. Unsolicited content indicative of the information of potential interest to the user or the action(s) may be generated and incorporated by the automated assistant into the existing human-to-computer dialog session.Type: GrantFiled: January 10, 2022Date of Patent: January 30, 2024Assignee: GOOGLE LLCInventors: Ibrahim Badr, Zaheed Sabur, Vladimir Vuskovic, Adrian Zumbrunnen, Lucas Mirelmann
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DYNAMICALLY DELAYING EXECUTION OF AUTOMATED ASSISTANT ACTIONS AND/OR BACKGROUND APPLICATION REQUESTS
Publication number: 20230410804Abstract: Implementations set forth herein allow a user to access a first application in a foreground of a graphical interface, and simultaneously employ an automated assistant to respond to notifications arising from a second application. The user can provide an input, such as a spoken utterance, while viewing the first application in the foreground in order to respond to notifications from the second application without performing certain intervening steps that can arise under certain circumstances. Such intervening steps can include providing a user confirmation, which can be bypassed, and/or time-limited according to a timer, which can be displayed in response to the user providing a responsive input directed at the notification. A period for the timer can be set according to one or more characteristics that are associated with the notification, the user, and/or any other information that can be associated with the user receiving the notification.Type: ApplicationFiled: September 1, 2023Publication date: December 21, 2023Inventors: Denis Burakov, Sergey Nazarov, Behshad Behzadi, Mario Bertschler, Bohdan Vlasyuk, Daniel Cotting, Michael Golikov, Lucas Mirelmann, Steve Cheng, Zaheed Sabur, Okan Kolak, Yan Zhong, Vinh Quoc Ly -
Publication number: 20230298585Abstract: Implementations herein relate to pre-caching data, corresponding to predicted interactions between a user and an automated assistant, using data characterizing previous interactions between the user and the automated assistant. An interaction can be predicted based on details of a current interaction between the user and an automated assistant. One or more predicted interactions can be initialized, and/or any corresponding data pre-cached, prior to the user commanding the automated assistant in furtherance of the predicted interaction. Interaction predictions can be generated using a user-parameterized machine learning model, which can be used when processing input(s) that characterize a recent user interaction with the automated assistant. The predicted interaction(s) can include action(s) to be performed by third-party application(s).Type: ApplicationFiled: May 25, 2023Publication date: September 21, 2023Inventors: Lucas Mirelmann, Zaheed Sabur, Bohdan Vlasyuk, Marie Patriarche Bledowski, Sergey Nazarov, Denis Burakov, Behshad Behzadi, Michael Golikov, Steve Cheng, Daniel Cotting, Mario Bertschler
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Dynamically delaying execution of automated assistant actions and/or background application requests
Patent number: 11749280Abstract: Implementations set forth herein allow a user to access a first application in a foreground of a graphical interface, and simultaneously employ an automated assistant to respond to notifications arising from a second application. The user can provide an input, such as a spoken utterance, while viewing the first application in the foreground in order to respond to notifications from the second application without performing certain intervening steps that can arise under certain circumstances. Such intervening steps can include providing a user confirmation, which can be bypassed, and/or time-limited according to a timer, which can be displayed in response to the user providing a responsive input directed at the notification. A period for the timer can be set according to one or more characteristics that are associated with the notification, the user, and/or any other information that can be associated with the user receiving the notification.Type: GrantFiled: December 21, 2022Date of Patent: September 5, 2023Assignee: GOOGLE LLCInventors: Denis Burakov, Sergey Nazarov, Behshad Behzadi, Mario Bertschler, Bohdan Vlasyuk, Daniel Cotting, Michael Golikov, Lucas Mirelmann, Steve Cheng, Zaheed Sabur, Okan Kolak, Yan Zhong, Vinh Quoc Ly -
Publication number: 20230252989Abstract: Implementations can reduce the time required to obtain responses from an automated assistant through proactive caching, locally at a client device, of proactive assistant cache entries—and through on-device utilization of the proactive assistant cache entries. Different proactive cache entries can be provided to different client devices, and various implementations relate to technique(s) utilized in determining which proactive cache entries to provide to which client devices. In some of those implementations, in determining which proactive cache entries to provide (proactively or in response to a request) to a given client device, a remote system selects, from a superset of candidate proactive cache entries, a subset of the cache entries for providing to the given client device.Type: ApplicationFiled: April 18, 2023Publication date: August 10, 2023Inventors: Daniel Cotting, Zaheed Sabur, Lan Huo, Bryan Christopher Horling, Behshad Behzadi, Lucas Mirelmann, Michael Golikov, Denis Burakov, Steve Cheng, Bohdan Vlasyuk, Sergey Nazarov, Mario Bertschler, Luv Kothari
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Patent number: 11664028Abstract: Implementations herein relate to pre-caching data, corresponding to predicted interactions between a user and an automated assistant, using data characterizing previous interactions between the user and the automated assistant. An interaction can be predicted based on details of a current interaction between the user and an automated assistant. One or more predicted interactions can be initialized, and/or any corresponding data pre-cached, prior to the user commanding the automated assistant in furtherance of the predicted interaction. Interaction predictions can be generated using a user-parameterized machine learning model, which can be used when processing input(s) that characterize a recent user interaction with the automated assistant. The predicted interaction(s) can include action(s) to be performed by third-party application(s).Type: GrantFiled: January 6, 2022Date of Patent: May 30, 2023Assignee: GOOGLE LLCInventors: Lucas Mirelmann, Zaheed Sabur, Bohdan Vlasyuk, Marie Patriarche Bledowski, Sergey Nazarov, Denis Burakov, Behshad Behzadi, Michael Golikov, Steve Cheng, Daniel Cotting, Mario Bertschler
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DYNAMICALLY DELAYING EXECUTION OF AUTOMATED ASSISTANT ACTIONS AND/OR BACKGROUND APPLICATION REQUESTS
Publication number: 20230125662Abstract: Implementations set forth herein allow a user to access a first application in a foreground of a graphical interface, and simultaneously employ an automated assistant to respond to notifications arising from a second application. The user can provide an input, such as a spoken utterance, while viewing the first application in the foreground in order to respond to notifications from the second application without performing certain intervening steps that can arise under certain circumstances. Such intervening steps can include providing a user confirmation, which can be bypassed, and/or time-limited according to a timer, which can be displayed in response to the user providing a responsive input directed at the notification. A period for the timer can be set according to one or more characteristics that are associated with the notification, the user, and/or any other information that can be associated with the user receiving the notification.Type: ApplicationFiled: December 21, 2022Publication date: April 27, 2023Inventors: Denis Burakov, Sergey Nazarov, Behshad Behzadi, Mario Bertschler, Bohdan Vlasyuk, Daniel Cotting, Michael Golikov, Lucas Mirelmann, Steve Cheng, Zaheed Sabur, Okan Kolak, Yan Zhong, Vinh Quoc Ly -
Patent number: 11631412Abstract: Implementations can reduce the time required to obtain responses from an automated assistant through proactive caching, locally at a client device, of proactive assistant cache entries—and through on-device utilization of the proactive assistant cache entries. Different proactive cache entries can be provided to different client devices, and various implementations relate to technique(s) utilized in determining which proactive cache entries to provide to which client devices. In some of those implementations, in determining which proactive cache entries to provide (proactively or in response to a request) to a given client device, a remote system selects, from a superset of candidate proactive cache entries, a subset of the cache entries for providing to the given client device.Type: GrantFiled: November 8, 2021Date of Patent: April 18, 2023Assignee: GOOGLE LLCInventors: Daniel Cotting, Zaheed Sabur, Lan Huo, Bryan Christopher Horling, Behshad Behzadi, Lucas Mirelmann, Michael Golikov, Denis Burakov, Steve Cheng, Bohdan Vlasyuk, Sergey Nazarov, Mario Bertschler, Luv Kothari
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Publication number: 20230041517Abstract: Implementations can reduce the time required to obtain responses from an automated assistant by, for example, obviating the need to provide an explicit invocation to the automated assistant, such as by saying a hot-word/phrase or performing a specific user input, prior to speaking a command or query. In addition, the automated assistant can optionally receive, understand, and/or respond to the command or query without communicating with a server, thereby further reducing the time in which a response can be provided. Implementations only selectively initiate on-device speech recognition responsive to determining one or more condition(s) are satisfied. Further, in some implementations, on-device NLU, on-device fulfillment, and/or resulting execution occur only responsive to determining, based on recognized text form the on-device speech recognition, that such further processing should occur.Type: ApplicationFiled: October 21, 2022Publication date: February 9, 2023Inventors: Michael Golikov, Zaheed Sabur, Denis Burakov, Behshad Behzadi, Sergey Nazarov, Daniel Cotting, Mario Bertschler, Lucas Mirelmann, Steve Cheng, Bohdan Vlasyuk, Jonathan Lee, Lucia Terrenghi, Adrian Zumbrunnen
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Patent number: 11553051Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for pairing a speech-enabled device with a display device. A determination may be made to pair a speech-enabled device with a display device of a particular type. A set of display devices that are associated with the speech-enabled device may be identified in response to determining to pair the speech-enabled device with the display device of the particular type. An instruction may be provided to each of the display devices. The instruction may cause the display device to determine (i) whether the display device is of the particular type and (ii) whether the display device and the speech-enabled device both share a local area network and display on the display device an indication regarding pairing with the speech-enabled device.Type: GrantFiled: July 19, 2021Date of Patent: January 10, 2023Assignee: GOOGLE LLCInventors: Zaheed Sabur, Andrea Terwisscha van Scheltinga, Mikhail Reutov, Lucas Mirelmann
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Dynamically delaying execution of automated assistant actions and/or background application requests
Patent number: 11545151Abstract: Implementations set forth herein allow a user to access a first application in a foreground of a graphical interface, and simultaneously employ an automated assistant to respond to notifications arising from a second application. The user can provide an input, such as a spoken utterance, while viewing the first application in the foreground in order to respond to notifications from the second application without performing certain intervening steps that can arise under certain circumstances. Such intervening steps can include providing a user confirmation, which can be bypassed, and/or time-limited according to a timer, which can be displayed in response to the user providing a responsive input directed at the notification. A period for the timer can be set according to one or more characteristics that are associated with the notification, the user, and/or any other information that can be associated with the user receiving the notification.Type: GrantFiled: June 5, 2019Date of Patent: January 3, 2023Assignee: GOOGLE LLCInventors: Denis Burakov, Sergey Nazarov, Behshad Behzadi, Mario Bertschler, Bohdan Vlasyuk, Daniel Cotting, Michael Golikov, Lucas Mirelmann, Steve Cheng, Zaheed Sabur, Okan Kolak, Yan Zhong, Vinh Quoc Ly -
Patent number: 11482217Abstract: Implementations can reduce the time required to obtain responses from an automated assistant by, for example, obviating the need to provide an explicit invocation to the automated assistant, such as by saying a hot-word/phrase or performing a specific user input, prior to speaking a command or query. In addition, the automated assistant can optionally receive, understand, and/or respond to the command or query without communicating with a server, thereby further reducing the time in which a response can be provided. Implementations only selectively initiate on-device speech recognition responsive to determining one or more condition(s) are satisfied. Further, in some implementations, on-device NLU, on-device fulfillment, and/or resulting execution occur only responsive to determining, based on recognized text form the on-device speech recognition, that such further processing should occur.Type: GrantFiled: May 31, 2019Date of Patent: October 25, 2022Assignee: GOOGLE LLCInventors: Michael Golikov, Zaheed Sabur, Denis Burakov, Behshad Behzadi, Sergey Nazarov, Daniel Cotting, Mario Bertschler, Lucas Mirelmann, Steve Cheng, Bohdan Vlasyuk, Jonathan Lee, Lucia Terrenghi, Adrian Zumbrunnen
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Publication number: 20220157317Abstract: Implementations set forth herein relate to a system that employs an automated assistant to further interactions between a user and another application, which can provide the automated assistant with permission to initialize relevant application actions simultaneous to the user interacting with the other application. Furthermore, the system can allow the automated assistant to initialize actions of different applications, despite being actively operating a particular application. Available actions can be gleaned by the automated assistant using various application-specific schemas, which can be compared with incoming requests from a user to the automated assistant. Additional data, such as context and historical interactions, can also be used to rank and identify a suitable application action to be initialized via the automated assistant.Type: ApplicationFiled: January 31, 2022Publication date: May 19, 2022Inventors: Denis Burakov, Behshad Behzadi, Mario Bertschler, Bohdan Vlasyuk, Daniel Cotting, Michael Golikov, Lucas Mirelmann, Steve Cheng, Sergey NAZAROV, Zaheed Sabur, Marcin Nowak-Przygodzki, Mugurel Ionut Andreica, Radu Voroneanu
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Publication number: 20220130385Abstract: Implementations herein relate to pre-caching data, corresponding to predicted interactions between a user and an automated assistant, using data characterizing previous interactions between the user and the automated assistant. An interaction can be predicted based on details of a current interaction between the user and an automated assistant. One or more predicted interactions can be initialized, and/or any corresponding data pre-cached, prior to the user commanding the automated assistant in furtherance of the predicted interaction. Interaction predictions can be generated using a user-parameterized machine learning model, which can be used when processing input(s) that characterize a recent user interaction with the automated assistant.Type: ApplicationFiled: January 6, 2022Publication date: April 28, 2022Inventors: Lucas Mirelmann, Zaheed Sabur, Bohdan Vlasyuk, Marie Patriarche Bledowski, Sergey NAZAROV, Denis Burakov, Behshad Behzadi, Michael Golikov, Steve CHENG, Daniel Cotting, Mario Bertschler
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Publication number: 20220130386Abstract: Methods, apparatus, and computer readable media are described related to automated assistants that proactively incorporate, into human-to-computer dialog sessions, unsolicited content of potential interest to a user. In various implementations, in an existing human-to-computer dialog session between a user and an automated assistant, it may be determined that the automated assistant has responded to all natural language input received from the user. Based on characteristic(s) of the user, information of potential interest to the user or action(s) of potential interest to the user may be identified. Unsolicited content indicative of the information of potential interest to the user or the action(s) may be generated and incorporated by the automated assistant into the existing human-to-computer dialog session.Type: ApplicationFiled: January 10, 2022Publication date: April 28, 2022Inventors: Ibrahim Badr, Zaheed Sabur, Vladimir Vuskovic, Adrian Zumbrunnen, Lucas Mirelmann
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Publication number: 20220059093Abstract: Implementations can reduce the time required to obtain responses from an automated assistant through proactive caching, locally at a client device, of proactive assistant cache entries—and through on-device utilization of the proactive assistant cache entries. Different proactive cache entries can be provided to different client devices, and various implementations relate to technique(s) utilized in determining which proactive cache entries to provide to which client devices. In some of those implementations, in determining which proactive cache entries to provide (proactively or in response to a request) to a given client device, a remote system selects, from a superset of candidate proactive cache entries, a subset of the cache entries for providing to the given client device.Type: ApplicationFiled: November 8, 2021Publication date: February 24, 2022Inventors: Daniel Cotting, Zaheed Sabur, Lan Huo, Bryan Christopher Horling, Behshad Behzadi, Lucas Mirelmann, Michael Golikov, Denis Burakov, Steve Cheng, Bohdan Vlasyuk, Sergey Nazarov, Mario Bertschler, Luv Kothari
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Patent number: 11238868Abstract: Implementations set forth herein relate to a system that employs an automated assistant to further interactions between a user and another application, which can provide the automated assistant with permission to initialize relevant application actions simultaneous to the user interacting with the other application. Furthermore, the system can allow the automated assistant to initialize actions of different applications, despite being actively operating a particular application. Available actions can be gleaned by the automated assistant using various application-specific schemas, which can be compared with incoming requests from a user to the automated assistant. Additional data, such as context and historical interactions, can also be used to rank and identify a suitable application action to be initialized via the automated assistant.Type: GrantFiled: June 13, 2019Date of Patent: February 1, 2022Assignee: Google LLCInventors: Denis Burakov, Behshad Behzadi, Mario Bertschler, Bohdan Vlasyuk, Daniel Cotting, Michael Golikov, Lucas Mirelmann, Steve Cheng, Sergey Nazarov, Zaheed Sabur, Marcin Nowak-Przygodzki, Mugurel Ionut Andreica, Radu Voroneanu