Abstract: The present teaching relates to dynamically generating a card. In one example, a request is received for generating a card to be provided to a user. Dynamic information related to the request is obtained. One or more modules are selected to be put into the card based on the dynamic information. The card is generated based on the selected one or more modules.

Abstract: Improving configuration of routing areas within an area of interest can include obtaining input data including a list of common language location identifiers within a defined area of interest and identification of a number of routing areas to be created within the area of interest; creating a bounding rectangle around the area of interest represented by the list of common language location identifiers; generating, within the bounding rectangle, a uniformly distributed sequence point; determining, from within the list of common language location identifiers, if the uniformly distributed sequence point is located in a particular common language location identifier of the list of common language location identifiers; if so, adding, to a list of kernel common language location identifiers the uniformly distributed sequence point; and if not, discarding the uniformly distributed sequence point.

Abstract: An internal combustion engine system is described herein. The system uses an additive added to the exhaust of the internal combustion engine to maintain a range of NO2 to NO within a range that provides for a fast SCR reaction in a selective catalyst reduction unit. The additive and the exhaust enter a diesel oxidation catalyst (DOC), whereby the NO2 undergoes a two-stage process. In the first stage, the NO2 from the exhaust is adsorbed onto the precious metal catalyst of the DOC and an atomic oxygen is removed from the NO2, reducing the NO2 to NO. Because of the higher reactivity of the additive, the additive scavenges a portion of the atomic oxygen from the catalyst. During the second stage of the DOC process, the NO is oxidized over the catalyst to form NO2.

Abstract: In one embodiment, a method includes receiving a voice input having acoustic features from a first client system associated with a first user, determining emotions associated with the voice input based on one or more of the acoustic features by machine-learning models, determining facial features for a first extended-reality (XR) avatar representing the first user based on the emotions, and sending instructions for rendering the first XR avatar representing the first user to a second client system associated with a second user, wherein the first XR avatar is rendered with the determined facial features.

Abstract: An internal combustion engine system is described herein. The system uses an additive added to the exhaust of the internal combustion engine to maintain a range of NO2 to NO within a range that provides for a fast SCR reaction in a selective catalyst reduction unit. The additive and the exhaust enter a diesel oxidation catalyst (DOC), whereby the NO2 undergoes a two-stage process. In the first stage, the NO2 from the exhaust is adsorbed onto the precious metal catalyst of the DOC and an atomic oxygen is removed from the NO2, reducing the NO2 to NO. Because of the higher reactivity of the additive, the additive scavenges a portion of the atomic oxygen from the catalyst. During the second stage of the DOC process, the NO is oxidized over the catalyst to form NO2.

Abstract: Techniques for dynamic profile data ingestion are described. The system may process profile data associated with one device, such as a mobile device, to associate it with another device, such as a vehicle. For example, when a connection is made between the first device and the second device, the profile data associated with the first device may be associated with the second device, in a manner using a remote system. The remote system may temporarily associate the profile data with the second device, enabling the system to interpret a command using the profile data.

Abstract: An internal combustion engine system is described herein. The system uses an additive added to the exhaust of the internal combustion engine to maintain a range of NO2 to NO within a range that provides for a fast SCR reaction in a selective catalyst reduction unit. The additive and the exhaust enter a diesel oxidation catalyst (DOC), whereby the NO2 undergoes a two-stage process. In the first stage, the NO2 from the exhaust is adsorbed onto the precious metal catalyst of the DOC and an atomic oxygen is removed from the NO2, reducing the NO2 to NO. Because of the higher reactivity of the additive, the additive scavenges a portion of the atomic oxygen from the catalyst. During the second stage of the DOC process, the NO is oxidized over the catalyst to form NO2.

Abstract: Techniques for dynamic profile data ingestion are described. The system may process profile data associated with one device, such as a mobile device, to associate it with another device, such as a vehicle. For example, when a connection is made between the first device and the second device, the profile data associated with the first device may be associated with the second device, in a manner using a remote system. The remote system may temporarily associate the profile data with the second device, enabling the system to interpret a command using the profile data.

Abstract: A device having a voice-based interface activates or “wakes” when it detects an utterance that includes a wakeword; the device may be installed in a vehicle, such as an automobile. The device may distinguish between different wakewords; a different speech processing system may be associated with each wakeword, and each speech processing engine may have its own speech style and associated applications and functions.

Abstract: An autonomous mobile device (AMD) may move around a physical space performing various tasks. Most of the sensors on the AMD may be directed towards the front and sides of the AMD to facilitate autonomous navigation, interactions with users, and so forth. The AMD may return to a dock to recharge batteries, replenish consumables, transfer payload, and so forth. The AMD uses the sensors to approach the vicinity of the dock. Once in the vicinity, the AMD turns around and backs into the dock. This orientation allows the AMD to continue to operate the forward-facing sensors and interact with users while docked. The AMD uses inductive sensors to detect metallic targets located at particular positions in the dock. Output from the inductive sensors provides information about the relative position of the AMD with respect to the dock and is used to steer the AMD into a desired docked position.

Abstract: In one aspect, an example method includes (a) determining, via a thermal conductivity sensor of an automobile damage detection device, one or more thermal conductivities at one or more locations on an automobile; (b) transmitting, via a network interface of the automobile damage detection device, a request for anticipated thermal conductivity data from an automobile claims system, wherein the anticipated thermal conductivity data corresponds to anticipated thermal conductivities at the one or more locations on the automobile; (c) in response to transmitting the request, receiving, via the network interface from the automobile claims system, the anticipated thermal conductivity data; and (d) in response to receiving, from the automobile claims system, the anticipated thermal conductivity data, displaying, via a graphical user interface, a graphical representation of the determined one or more thermal conductivities and the anticipated thermal conductivity data.

Abstract: Techniques for dynamic contact ingestion are described. A system may interpret a voice command received from a first device based on contact data or other information associated with a second device connected to the first device. For example, when a data connection is made between the first device and the second device, the first device may receive the contact data and send the contact data to a remote system. The remote system may temporarily associate the contact data with the first device, enabling the remote system to interpret a voice command received from the first device using the contact data. The remote system may use the contact data to perform disambiguation, enabling the remote system to initiate outbound calls, announce inbound calls, and/or the like. When the second device is disconnected from the first device, the remote system may remove the association between the contact data and the first device.

Abstract: An autonomous mobile device (AMD) operating in a first mode moves within a physical space to perform various tasks such as displaying information on a screen, following a user, and so forth. The first mode may involve the AMD moving or maintaining a particular pose. While the AMD is in the first mode, a user may apply an external force to the AMD to reposition the AMD to a desired pose. Application of this external force on the AMD is detected and results in the AMD transitioning to a second mode in which the AMD may be repositioned. While in the second mode, the user may reposition the AMD. The second mode may constrain the magnitude of the resulting movement, preventing the user from moving the AMD too quickly which could damage components within the AMD. Once the external force ceases, the AMD may transition back to the first mode.

Abstract: The present teaching relates to dynamically generating a card. In one example, a request is received for generating a card to be provided to a user. Dynamic information related to the request is obtained. One or more modules are selected to be put into the card based on the dynamic information. The card is generated based on the selected one or more modules.

Abstract: In one aspect, an example method includes (a) determining, via a thermal conductivity sensor of an automobile damage detection device, one or more thermal conductivities at one or more locations on an automobile; (b) transmitting, via a network interface of the automobile damage detection device, a request for anticipated thermal conductivity data from an automobile claims system, wherein the anticipated thermal conductivity data corresponds to anticipated thermal conductivities at the one or more locations on the automobile; (c) in response to transmitting the request, receiving, via the network interface from the automobile claims system, the anticipated thermal conductivity data; and (d) in response to receiving, from the automobile claims system, the anticipated thermal conductivity data, displaying, via a graphical user interface, a graphical representation of the determined one or more thermal conductivities and the anticipated thermal conductivity data.

Abstract: In one aspect, an example method includes (a) determining, via a thermal conductivity sensor of an automobile damage detection device, one or more thermal conductivities at one or more locations on an automobile; (b) transmitting, via a network interface of the automobile damage detection device, a request for anticipated thermal conductivity data from an automobile claims system, wherein the anticipated thermal conductivity data corresponds to anticipated thermal conductivities at the one or more locations on the automobile; (c) in response to transmitting the request, receiving, via the network interface from the automobile claims system, the anticipated thermal conductivity data; and (d) in response to receiving, from the automobile claims system, the anticipated thermal conductivity data, displaying, via a graphical user interface, a graphical representation of the determined one or more thermal conductivities and the anticipated thermal conductivity data.

Abstract: Techniques for controlling operations of a motor based on position errors are described. In an example, a user device sends an amount of electrical current to the motor to cause the motor to move. The user device also determines the motor is in position for a time interval despite the amount of electrical current. Based at least one the time interval and the amount of electrical current, the user device determines a position difference associated with a target position and a measured position of the motor during the time interval, and reduces the amount of electrical current based at least in part on the time interval.

Abstract: The present teaching relates to dynamically generating a card. In one example, a request is received for generating a card to be provided to a user. Dynamic information related to the request is obtained. One or more modules are selected to be put into the card based on the dynamic information. The card is generated based on the selected one or more modules.

Abstract: The present invention teaches methods of performing appliance itemization based on consumption data, including: receiving at a processor the data; determining if the data includes active signals and/or inactive signals; upon detection of an active signal: detecting and estimating active water heating consumption and lighting consumption; upon detection of an inactive signal: detecting and estimating passive water heating consumption, refrigerator consumption; and detecting vacation mode.

Abstract: The present invention is generally directed to systems and methods for optimizing energy usage in a household. For example, methods for optimizing energy usage in a household may include steps of: receiving, using an energy optimization device, entire energy profile data associated with the household; obtaining, using the energy optimization device, time of use (TOU) energy pricing structure; processing, the entire energy profile data to generate disaggregated appliance level data related to one or more appliances used in the household; retrieving historical patterns of energy usage of the household during both peak and non-peak time periods; applying a behavior shift analysis on the disaggregated data based at least in part on the TOU energy pricing structure, disaggregated data, and historical patterns of the energy usage; and predicting potential energy savings based at least in part on the behavior shift analysis.