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公开(公告)号:US20240378221A1
公开(公告)日:2024-11-14
申请号:US18649523
申请日:2024-04-29
Inventor: John Westhues , Dustin Meyer , Dan Boser , Dee Engel
Abstract: Techniques described herein relate to clustering team data and providing the resulting cluster information as a service. The cluster information provided as a service can be efficiently incorporated into tools and services of utility for the teams from which the team data is gathered.
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公开(公告)号:US20240378138A1
公开(公告)日:2024-11-14
申请号:US18616710
申请日:2024-03-26
Inventor: Jacob Carlson
IPC: G06F11/36 , G06F9/455 , G06F16/955 , G06Q40/08
Abstract: Different instances of a policy management system, in different clusters of a computing environment, can be configured differently for different purposes. Different policy databases, associated with the different instances of the policy management system, can store different sets of policy data that may be used or accessed during software testing or other operations via the different instances of the policy management system. A resolver can use a lookup table to track which instances of the policy management system are associated with corresponding instances of policy data. External services that access policy data during software tests and/or other operations can query the resolver to determine which instances of the policy management system to communicate with to access particular instances of policy data, such that the services can interact with differently-configured instances of the policy management system without the services themselves being reconfigured or changed.
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公开(公告)号:US12141860B2
公开(公告)日:2024-11-12
申请号:US18214826
申请日:2023-06-27
Inventor: Angela Rachelle Bobsin , Abigail R. Wooden , Troy Clark , Matt Lawson
IPC: G06Q30/06 , G06Q30/0645 , G06Q50/16
Abstract: The method, system, and computer-readable medium facilitate a fast rental application. A method may include receiving a login corresponding to a profile in a profile repository; receiving second data corresponding to the user associated with the profile from one or more search databases; automatically determining categories of a plurality of categories to which the second data belongs using a trained machine learning algorithm; retrieving the first data from one or more databases; generating updated user data corresponding to the user associated with the profile based upon at least the first data and the second data; storing at least the updated user data in the profile; and updating a rental application based on at least the updated user data.
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公开(公告)号:US12141666B2
公开(公告)日:2024-11-12
申请号:US17517175
申请日:2021-11-02
Inventor: Sambasiva R. Murakonda , Theodore Edward Dorner
IPC: G06F17/00 , G06F3/0482 , G06F3/04847 , G06F40/169 , G06N5/04 , G06N20/00
Abstract: A data pipeline tool provides a machine-learning design interface that a user can utilize (e.g., via an electronic device such as a personal computer, tablet, or smart phone) to design or configure data pipelines or workflows defining the manner in which ML models are developed, trained, tested, validated, or deployed. Once deployed, a designed ML model may generate predictive results based on input data fed to the ML model. The tool may present the predictive results via a GUI, and may enable a user to mark-up or otherwise interact with those predictive results. The tool may enable the user to share the results (which may include a mark-up or annotation provided by a user).
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公开(公告)号:US20240371216A1
公开(公告)日:2024-11-07
申请号:US18774510
申请日:2024-07-16
Inventor: Kristopher Keith Gaudin , Andrew J. Zeglin , Craig Benjamin Cope , Joseph Harr , Aaron Williams
IPC: G07C5/08 , B60W40/08 , B60W40/09 , B60W50/00 , B60W50/04 , B60W50/08 , B60W50/12 , B60W50/14 , G06Q30/0207 , G06Q40/08 , G07C5/00
Abstract: A system and computer-implemented method detect and act upon deactivated vehicle components. The system and method include receiving measurements data associated with driving activity. The measurements data includes an indication that at least one feature of an Advanced Driver Assistance System (ADAS) of a vehicle has been deactivated for a driving activity. The system and method may include receiving historical driving data including a history of at least one driving activity aided by activation of the alert from the ADAS feature. The system and method may compare the measurements data to the historical driving data, determine a likelihood level that the feature of the ADAS would have provided the alert had the feature been activated based upon the comparing, and set, based at least upon the determining, at least a portion of an operator profile associated with an operator of the vehicle with the likelihood level.
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公开(公告)号:US20240370949A1
公开(公告)日:2024-11-07
申请号:US18330182
申请日:2023-06-06
Inventor: Julie K. Fritz , Alexander Cardona , Olivia Nauman , Diana Sherwood , Brian Fields
Abstract: System and methods for detecting anomalous water usage at a property having a water supply system using machine learning (ML) are provided. An ML model may generate an estimated water usage of the property associated with the property data set, where the property data set may include attributes of the property influencing the water usage of the property. The ML model may be configured to learn relationships between a historical water usage data set and a historical property data set. The systems and methods may compare the water usage of the property and the estimated water usage of the property. If the comparison indicates the water usage exceeds a threshold, a notification may be generated and provided to a user device.
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公开(公告)号:US20240367663A1
公开(公告)日:2024-11-07
申请号:US18778246
申请日:2024-07-19
Inventor: Alexander Cardona , David Dohrmann , Tim G. Sanidas , Jaime Skaggs , Pamela Rearden , Timothy J. Nickel , Thomas Hilton Jannusch , James P. Rodriguez , Scott T. Christensen , Karthikeyan Srinivasan
Abstract: Systems and methods for determining the effectiveness of vehicle safety features are provided. Vehicle build information (VBI) for vehicles manufactured by a plurality of OEMs may be obtained. The VBI may contain OEM-specific terminology for smart safety features associated with each vehicle. The obtained VBI may be analyzed to generate an ontology model mapping each feature to any OEM-specific terminology associated with the feature. The ontology model may be applied to the VBI to generate translated VBI for each vehicle, such that the OEM-specific terminology associated with each feature is replaced with OEM-agnostic terminology for the feature. Vehicle accident record information may be obtained for each vehicle, including, e.g., the number, frequency, severity, etc. of accidents associated with each vehicle. Using the OEM-agnostic terminology for each feature associated with each vehicle and the vehicle accident information for each vehicle, an effectiveness score associated with each feature may be calculated.
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公开(公告)号:US20240362692A1
公开(公告)日:2024-10-31
申请号:US18597514
申请日:2024-03-06
Inventor: Aaron Williams , Scott T. Christensen , Joseph P. Harr , Ryan M. Gross
IPC: G06Q30/0601 , G06Q30/0283
CPC classification number: G06Q30/0611 , G06Q30/0283
Abstract: A computer-implemented method may include, by one or more processors and/or associated transceivers: (1) detecting a signal that a buyer would like to purchase a vehicle, wherein the signal indicates a vehicle type of the vehicle; and/or (2) inputting the vehicle type into a generative artificial intelligence (AI) model. The generative AI model is trained on transactional data associated with vehicle purchases to learn a relationship between vehicle purchase terms and buyer characteristics, and is configured to: (i) identify one or more sellers of the vehicle type; (ii) establish a communication coupling with the one or more sellers of the vehicle type; (iii) automatically negotiate, with the one or more sellers, one or more terms for purchasing available vehicles of the vehicle type; and/or (iv) present the terms to the buyer to facilitate purchase of a particular vehicle of the available vehicles from a particular seller.
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公开(公告)号:US12130622B2
公开(公告)日:2024-10-29
申请号:US18206414
申请日:2023-06-06
Inventor: Brian Mark Fields , Leo Nelson Chan , Kristopher Keith Gaudin , Aaron Williams
CPC classification number: G05D1/0061 , G05D1/0088 , B60W2050/007 , B60W2050/0072
Abstract: Vehicles may have the capability to navigate according to various levels of autonomous capabilities, the vehicle having a different set of autonomous competencies at each level. In certain situations, the vehicle may shift from one level of autonomous capability to another. The shift may require more or less driving responsibility from a human operator. Sensors inside the vehicle collect human operator parameters to determine an alertness level of the human operator. An alertness level is determined based on the human operator parameters and other data including historical data or human operator-specific data. Notifications are presented to the user based on the determined alertness level that are more or less intrusive based on the alertness level of the human operator and on the urgency of an impending change to autonomous capabilities. Notifications may be tailored to specific human operators based on human operator preference and historical performance.
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公开(公告)号:US20240354863A1
公开(公告)日:2024-10-24
申请号:US18756780
申请日:2024-06-27
Inventor: Nathan L. Tofte , Timothy W. Ryan , Nathan W. Baumann , Michael Shawn Jacob , Joshua David Lillie , Brian N. Harvey , Roxane Lyons , Rosemarie Geier Grant
IPC: G06Q40/08 , B64C39/02 , B64D47/08 , B64U10/00 , B64U10/14 , B64U101/00 , B64U101/30 , G01C11/02 , G06F18/22 , G06Q40/00 , G06T7/00 , G06T7/20 , G06T7/246 , G06T7/73 , G06T11/60 , G06T17/05 , G06V10/42 , G06V20/10 , G06V20/40 , H04N5/44 , H04N7/18
CPC classification number: G06Q40/08 , B64C39/024 , B64D47/08 , G01C11/02 , G06F18/22 , G06Q40/00 , G06T7/00 , G06T7/20 , G06T7/246 , G06T7/75 , G06T11/60 , G06T17/05 , G06V10/42 , G06V20/10 , G06V20/41 , H04N5/44 , H04N7/185 , B64U10/00 , B64U10/14 , B64U2101/00 , B64U2101/30 , B64U2201/102 , B64U2201/104 , G06T2207/10032 , G06T2207/30232 , G06T2207/30236 , G06T2207/30252 , G06T2215/16 , G06V20/44
Abstract: Various techniques are described utilizing one or more unmanned aerial vehicles (UAVs, or “drones”) for various disaster and/or catastrophe-related purposes. UAVs may collect data in an attempt to predict the occurrence and/or extent of a catastrophe and/or to mitigate the impact of a catastrophe before and, if not at that time, once it has occurred. The UAVs may perform various tasks such that the damage to property caused by a catastrophe (or potential catastrophe) may be eliminated or mitigated. A UAV may receive a flight path based on an energy consumption related condition and operate based on the flight path. Operating based on the flight path includes docking the UAV with a power supply device for charging a power source of the UAV.
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