Abstract: A lock system for a landing gear assembly may comprise a housing and a hook configured to rotate relative to the housing. A lock pin may be configured to translate into a rotational path of the hook. An electromechanical actuator may be configured to translate the lock pin.

Abstract: A digital experience management system comprising: the displaying on an electronic display screen a plurality of sequentially ordered node indicators, each node indicator having a respective sequence position; the system storing multiple session information structures, each respective session information structure including multiple sequentially ordered clusters of user experience information, each cluster of user experience having a sequence position that matches a sequence position of a node indicator; responding to a user selection of a respective node indicator, by displaying on the electronic display screen, each respective cluster of user experience information having a sequence position that matches a sequence position of the respective selected node indicator.

Abstract: Systems and methods for using machine learning to estimate courier arrival times are described herein. According to an embodiment, a server computer receives a request to deliver to a requester prepared items associated with a preparation entity. The server additionally receives courier data identifying available couriers within the geographic region of the preparation entity and current request data identifying current requests to deliver prepared items from a plurality of entities in the geographic region. The server uses a trained machine learning system to compute an estimated pickup time, using at least the courier data and courier request data as inputs. The server computer then routes a preparation request to the preparation entity along with the estimated pickup time.

Abstract: A method for facilitating data security for transaction data includes receiving, by a first transaction processing server, a transaction message for a transaction. The transaction message includes a plurality of data elements indicative of the transaction data of the transaction. The first transaction processing server identifies a set of data elements of the plurality of data elements that is to be in a state of compliance with a set of rules. The first transaction processing server modifies a first data element of the plurality of data elements to include a bitmap mapped to the set of data elements. The first transaction processing server communicates the transaction message having the modified first data element to a second transaction processing server for processing the transaction. The second transaction processing server identifies the set of data elements that is to be in the state of compliance based on the first data element.

Abstract: Computational structures provide Embodied Agents with memory which can be populated in real time from Experience, and/or or authored. Embodied Agents (which may be virtual objects, digital entities or robots) are provided with one or more Experience Memory Stores which influence or direct the behaviour of the Embodied Agents. An Experience Memory Store may include a Convergence Divergence Zone (CDZ), which simulates the ability of human memory to represent external reality in the form of mental imagery or simulation that can be re-experienced during recall. A Memory Database be generated in a simple, authorable way, enabling Experiences to be learned during live operation of the Embodied Agents or authored. Eligibility-Based Learning determines which aspects from streams of multimodal information are stored in the Experience Memory Store.

Abstract: Methods, systems, and techniques for utilizing image processing systems to measure damage to vehicles include utilizing an image processing system to generate a heat map of an image of a damaged vehicle, where the heat map is indicative of a damaged area of the vehicle, and determining at least one measurement of the damaged area based on the heat map and a depth of field indicator corresponding to the image. In some embodiments, the image processing system also determines one or more types of damage of the damaged area, and/or also generates a segmentation map of the depicted vehicle and utilizes the segmentation map in conjunction with the heat map to measure damaged areas and locations thereof on the vehicle depicted within the image. In some embodiments, the techniques include determining the depth of field indicator of the image or portions thereof.

Abstract: An image processing system analyzes each of a set of vehicle images to determine one or more vehicle segments present in the images. The image processing system uses a characterization engine in the form of a neural network based image model to process each of the pixels of each of the images to determine the particular pixels of the image (or of the object depicted within the image) within or associated with a particular vehicle segment, such as a vehicle door, bumper, right or left panel, rear panel, windshield, etc. The characterization engine or image model may be developed or trained using a training engine that analyzes a plurality of images of different vehicles damaged in various different manners which have been annotated, on a pixel by pixel basis, to indicate the segments of the vehicle to which the various pixels belong or depict, and which have also been annotated, on an image basis, to indicate the view and/or zoom level of the image.

Abstract: Embodiments described herein relate to a method of changing the connectivity of a Cognitive Architecture for animating an Embodied Agent, which may be a virtual object, digital entity, and/or robot, by applying Mask Variables to Connectors linking computational Modules. Mask Variables may turn Connectors on or off—or more flexibly, they may module the strength of Connectors. Operations which apply several Mask Variables at once put the Cognitive Architecture in different Cognitive Modes of behaviour.

Abstract: Embodiments of architecture, systems, and methods for modeling dynamics between behavior and emotional states in an artificial nervous system are described herein. A computer implemented emotion system of an artificial nervous system for animating a virtual object, digital entity, or robot, is provided, comprising: a plurality of states, each state of the plurality of states representing an emotional state (ES) of the artificial nervous system; a module for processing a plurality of inputs, the processed plurality of inputs applied to the plurality of states. Other embodiments may be described and claimed.

Abstract: A method includes obtaining first data expressing a first usage intent; obtaining an answer object; obtaining, in accordance with first access control data, a first visualization data for the answer object; associating, with the first visualization data, a first generation-identifier that corresponds to at least a subset of the first access control data; generating first instructions for rendering the first visualization data on a user device of the first user; receiving a first snapshot of the first visualization data; storing a first association between the first generation-identifier and the first snapshot; obtaining second data expressing a second usage intent from a second user; identifying the answer object responsive to the second data expressing the second usage intent from the second user; and, responsive to second access control data corresponding to the second user matching the first generation-identifier, outputting second instructions for rendering the first snapshot to the second user.

Abstract: An image processing system analyzes each of a set of vehicle images to determine if there is any damage to the vehicle depicted in each or any of the images. The image processing system uses a characterization engine in the form of a neural network based image model to process each of the pixels of each of the selected tagged images to determine the particular pixels of the image (or of the object depicted within the image) that depict the presence of damage to the object, and the likelihood of the pixels depicting damage. The characterization engine or image model may be developed or trained using a training engine that analyzes a plurality of images of different vehicles damaged in various different manners which have been annotated, on a pixel by pixel basis, to indicate which pixels of each image represent damaged areas of the objects and which have also been annotated, on an image basis, to indicate the view and/or zoom level of the image.

Abstract: A hyperscale artificial intelligence and machine learning infrastructure includes a plurality of racks, where: at least one or more of the racks include one or more GPU servers; at least one or more of the racks include one or more storage systems; each of the racks include one or more switches coupled to at least one switch in another rack; and the one or more GPU servers are configured to execute one or more artificial intelligence or machine learning applications, wherein data stored within the one or more storage systems is used as input to the one or more artificial intelligence or machine learning applications.

Abstract: A vent shut-off assembly configured to manage venting on a fuel tank configured to deliver fuel to an internal combustion engine includes a first liquid vapor discriminator (LVD), a main housing, a first poppet valve assembly, a pump and an actuator assembly. The first LVD is disposed in the fuel tank. The main housing selectively vents to a carbon canister. The first poppet valve assembly has a first poppet valve arranged in the main housing. The pump selectively pumps liquid fuel from the main housing. The actuator assembly is at least partially housed in the main housing and includes a cam assembly having a cam shaft that includes a first cam and a second cam. The first cam has a profile that one of opens and closes the first poppet valve fluidly coupled to the first LVD.

Abstract: A photolithography system utilizes tin droplets to generate extreme ultraviolet radiation for photolithography. The photolithography system irradiates the droplets with a laser. The droplets become a plasma and emit extreme ultraviolet radiation. The photolithography system senses contamination of a collector mirror by the tin droplets and adjusts the flow of a buffer fluid to reduce the contamination.

Abstract: The subject technology receives, at a client device, a selection of a selectable graphical item from a plurality of selectable graphical items, the selectable graphical item comprising an augmented reality content generator including a 3D effect. The subject technology captures image data using at least one camera of the client device. The subject technology generates depth data using a machine learning model based at least in part on the captured image data. The subject technology applies, to the image data and the depth data, the 3D effect based at least in part on the augmented reality content generator.

Abstract: A method and apparatus for managing a field device on a network can involve detecting, at a processing device, a connection of the field device in an industrial process control and automation system, receiving data, from the field device, including payload information related to the field device in the industrial process control and automation system, determining, at the processing device, whether the field device uses a specific protocol based on the data, and responsive to determining that the field device uses the specific protocol, generating, at the processing device, a soft modem instance. The method and apparatus can also involve termination of soft modem instance if the field device becomes disconnected. The method and apparatus can also involve demodulating and extracting, using the soft modem instance, the payload information from the data.

Abstract: Methods and system, including decoders and encoders, for interprediction.

Abstract: As described herein, a system, method, and computer program are provided for orchestrating re-provisioning of network subscriber dedicated network slices. A request is received from an entity for use of a network. Network slice information indicating a plurality of slices of the network dedicated to a plurality of network subscribers is accessed. Provisioning of one of more slices of the plurality of slices to the entity is orchestrated, according to the request.

Abstract: A robust, reliable, and efficient UHD HDR Internet Protocol IP client device, such as a set top box, receives content, for example, from a cable service provider so that the content can be displayed to a compatible display device with improved visual effect. The content is 4K or higher content that requires UHD/HDR for a satisfactory user experience. The UHD provides for an improved resolution of the content while HDR provides for a more intense or greater contrast range of the content when displayed on a compatible display device.

Abstract: Systems and methods for natural language querying in accordance with embodiments of the invention are illustrated. One embodiment includes a data visualization system, including a processor, and a memory, the memory including a core grammar library, comprising a list of regular expression-system function pairs, and a natural language query (NLQ) application, where the NLQ application configures the processor to obtain a database from a user, obtain an NLQ directed at the database, parse the NLQ using the core grammar library to identify a system function and a set of one or more parameters, and perform the system function using the set of one or more parameters to visualize at least a portion of the database.