Patents by Inventor Avery K. Rowe
Avery K. Rowe 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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Patent number: 11151448Abstract: A method, computer system, and a computer program product for generating a location tag for a piece of visual data using deep learning is provided. The present invention may include receiving the piece of visual data. The present invention may also include analyzing the received piece of visual data using a neural network. The present invention may then include retrieving a location for the analyzed piece of visual data from the neural network. The present invention may further include generating a plurality of metadata for the retrieved location associated with the analyzed piece of visual data, wherein the generated plurality of metadata includes the location tag.Type: GrantFiled: May 26, 2017Date of Patent: October 19, 2021Assignee: International Business Machines CorporationInventors: Rhonda L. Childress, Justin D. Eyster, Avery K. Rowe, Priyanka Sarkar, Christopher E. Whitridge
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Patent number: 11125576Abstract: A mobile computing device such as a smartphone is used to find a parking garage with available spaces for a motor vehicle. The smartphone has a navigation app which receives a destination and computes an estimated time of arrival to that destination. It then broadcasts a request to parking garages in the vicinity of the destination with the ETA. Parking service systems associated with those garages respond with predicted parking availability. A cognitive system analyzes the responses and provides optimal recommendations based on user preferences such as cost, distance and safety. The user selects one of the recommended garages, and the computing device sends a reservation to the selected garage. The navigation app provides first directions to the destination until the vehicle is proximate thereto, and then switches to directions to the garage. The cognitive system can analyze a history of user selections and updating the user's preferences.Type: GrantFiled: October 26, 2017Date of Patent: September 21, 2021Assignee: International Business Machines CorporationInventors: Justin D. Eyster, Avery K. Rowe, Priyanka Sarkar, Christopher E. Whitridge
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Patent number: 11118932Abstract: A mobile computing device such as a smartphone is used to find a parking garage with available spaces for a motor vehicle. The smartphone has a navigation app which receives a destination and computes an estimated time of arrival to that destination. It then broadcasts a request to parking garages in the vicinity of the destination with the ETA. Parking service systems associated with those garages respond with predicted parking availability. A cognitive system analyzes the responses and provides optimal recommendations based on user preferences such as cost, distance and safety. The user selects one of the recommended garages, and the computing device sends a reservation to the selected garage. The navigation app provides first directions to the destination until the vehicle is proximate thereto, and then switches to directions to the garage. The cognitive system can analyze a history of user selections and updating the user's preferences.Type: GrantFiled: April 27, 2017Date of Patent: September 14, 2021Assignee: International Business Machines CorporationInventors: Justin D. Eyster, Avery K. Rowe, Priyanka Sarkar, Christopher E. Whitridge
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Patent number: 10769523Abstract: A system facilitates the selection of a restaurant which is suitable for a group having disparate taste preferences. Individual flavor profiles contain information pertaining to flavor preferences of individuals, and a group flavor profile is created based on the flavor profiles of individuals in a particular group. The group flavor profile is matched to one or more restaurant flavor profiles. An individual flavor profile includes numerical values associated with different flavor types, such as savory, sweet, sour, bitter and salty. An individual flavor profile is created by receiving an input indicative of a flavor type (such as a dish or food image) and determining the flavor type using a deep-learning neural network. The group flavor profile is created by averaging numerical values for respective flavor types from the individual flavor profiles of the group. A flavor profile can also include non-food preferences such as cost, traffic, distance, and weather.Type: GrantFiled: April 5, 2017Date of Patent: September 8, 2020Assignee: International Business Machines CorporationInventors: Justin D. Eyster, Avery K. Rowe, Priyanka Sarkar, Christopher E. Whitridge
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Publication number: 20180341854Abstract: A method, computer system, and a computer program product for generating a location tag for a piece of visual data using deep learning is provided. The present invention may include receiving the piece of visual data. The present invention may also include analyzing the received piece of visual data using a neural network. The present invention may then include retrieving a location for the analyzed piece of visual data from the neural network. The present invention may further include generating a plurality of metadata for the retrieved location associated with the analyzed piece of visual data, wherein the generated plurality of metadata includes the location tag.Type: ApplicationFiled: May 26, 2017Publication date: November 29, 2018Inventors: Rhonda L. Childress, Justin D. Eyster, Avery K. Rowe, Priyanka Sarkar, Christopher E. Whitridge
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Publication number: 20180341855Abstract: A method, computer system, and a computer program product for generating a location tag for a piece of visual data using deep learning is provided. The present invention may include receiving the piece of visual data. The present invention may also include analyzing the received piece of visual data using a neural network. The present invention may then include retrieving a location for the analyzed piece of visual data from the neural network. The present invention may further include generating a plurality of metadata for the retrieved location associated with the analyzed piece of visual data, wherein the generated plurality of metadata includes the location tag.Type: ApplicationFiled: September 19, 2017Publication date: November 29, 2018Inventors: Rhonda L. Childress, Justin D. Eyster, Avery K. Rowe, Priyanka Sarkar, Christopher E. Whitridge
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Publication number: 20180313660Abstract: A mobile computing device such as a smartphone is used to find a parking garage with available spaces for a motor vehicle. The smartphone has a navigation app which receives a destination and computes an estimated time of arrival to that destination. It then broadcasts a request to parking garages in the vicinity of the destination with the ETA. Parking service systems associated with those garages respond with predicted parking availability. A cognitive system analyzes the responses and provides optimal recommendations based on user preferences such as cost, distance and safety. The user selects one of the recommended garages, and the computing device sends a reservation to the selected garage. The navigation app provides first directions to the destination until the vehicle is proximate thereto, and then switches to directions to the garage. The cognitive system can analyze a history of user selections and updating the user's preferences.Type: ApplicationFiled: April 27, 2017Publication date: November 1, 2018Inventors: Justin D. Eyster, Avery K. Rowe, Priyanka Sarkar, Christopher E. Whitridge
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Publication number: 20180313661Abstract: A mobile computing device such as a smartphone is used to find a parking garage with available spaces for a motor vehicle. The smartphone has a navigation app which receives a destination and computes an estimated time of arrival to that destination. It then broadcasts a request to parking garages in the vicinity of the destination with the ETA. Parking service systems associated with those garages respond with predicted parking availability. A cognitive system analyzes the responses and provides optimal recommendations based on user preferences such as cost, distance and safety. The user selects one of the recommended garages, and the computing device sends a reservation to the selected garage. The navigation app provides first directions to the destination until the vehicle is proximate thereto, and then switches to directions to the garage. The cognitive system can analyze a history of user selections and updating the user's preferences.Type: ApplicationFiled: October 26, 2017Publication date: November 1, 2018Inventors: Justin D. Eyster, Avery K. Rowe, Priyanka Sarkar, Christopher E. Whitridge
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Publication number: 20180293489Abstract: A system facilitates the selection of a restaurant which is suitable for a group having disparate taste preferences. Individual flavor profiles contain information pertaining to flavor preferences of individuals, and a group flavor profile is created based on the flavor profiles of individuals in a particular group. The group flavor profile is matched to one or more restaurant flavor profiles. An individual flavor profile includes numerical values associated with different flavor types, such as savory, sweet, sour, bitter and salty. An individual flavor profile is created by receiving an input indicative of a flavor type (such as a dish or food image) and determining the flavor type using a deep-learning neural network. The group flavor profile is created by averaging numerical values for respective flavor types from the individual flavor profiles of the group. A flavor profile can also include non-food preferences such as cost, traffic, distance, and weather.Type: ApplicationFiled: April 5, 2017Publication date: October 11, 2018Inventors: Justin D. Eyster, Avery K. Rowe, Priyanka Sarkar, Christopher E. Whitridge