Abstract: Adaptive ambient services are provided. In some embodiments, an adaptive ambient service includes providing an ambient service profile. In some embodiments, an ambient service includes implementing an ambient service profile for assisting control of the communications device use of an ambient service on a wireless network, in which the ambient service profile includes a plurality of service policy settings, and in which the ambient service profile is associated with an ambient service plan that provides for initial access to the ambient service with limited service capabilities prior to activation of a new service plan; monitoring use of the ambient service based on the ambient service profile; and adapting the ambient service profile based on the monitored use of the ambient service.

Abstract: Devices, systems, and non-transitory computer-readable storage media for updating wireless device credentials, the wireless device comprising: a user interface, memory configured to store one or more credentials for enabling the wireless device to obtain one or more services over a wireless access network, and one or more processors configured to execute one or more machine-executable instructions that, when executed by the one or more processors, cause the one or more processors to obtain an indication of a user request to replace a particular credential with a target credential, detect a network-provisioning state change, determine that the particular credential does not match the target credential, initiate a programming session with a network element over a wireless access network, obtain an updated credential from the network element, and assist in storing the updated credential in memory.

Abstract: A clock data structure is introduced. An instance of the clock data structure can be attached to a billing data structure, such as a billing data structure that corresponds to a recurring payment. The instance of the clock data structure has a value that represents a frozen time—i.e., a specific time that does not change unless instructed to. The billing data structures to which the clock data structure is attached operate as if the real time is the frozen time on the clock. Since the time is frozen, users wishing to test the billing data structure can update their system configurations at specific times, and subsequently advance the time in the clock data structure instance to see the effects on those configurations, as well as on other parts of the system, including asynchronous messaging and processing, and processes that involve other entities.

Abstract: The present disclosure relates to a warehouse system (100) comprising a three-dimensional arrangement of storage spaces including a plurality of lanes extending in a longitudinal direction (X), a plurality of rows extending in a transverse direction (Z), and one or more levels in a vertical direction (Y). One or more cars (104) for carrying goods (106) are arranged in at least one of the plurality of rows, wherein the one or more cars (104) in a respective row are drivable along the respective row in the transverse direction (Z), and wherein the number of the one or more cars (104) in the respective row is less than the number of the plurality of lanes. The warehouse system (108) comprises at least one shuttle (108) drivable to shift goods (106) along at least one of the plurality of lanes in the longitudinal direction (X).

Abstract: Secure device data records (DDRs) are provided. In some embodiments, a system for secure DDRs includes a processor of a wireless communication device for wireless communication with a wireless network, in which the processor is configured with a secure execution environment, and in which the secure execution environment is configured to: monitor service usage of the wireless communication device with the wireless network; and generate a plurality of device data records of the monitored service usage of the wireless communication device with the wireless network, in which each device data record is associated with a unique sequence order identifier; and a memory coupled to the processor and configured to provide the processor with instructions. In some embodiments, the secure execution environment is located in an application processor, in a modem processor, and/or in a subscriber identity module (SIM).

Abstract: Embodiments are disclosed for autonomously predicting shipper behavior. An example method includes the following operations. One or more learning models are generated. Shipper behavior data for at least one shipper is extracted. The shipper behavior data includes a plurality of features associated with the at least one shipper scheduled to ship one or more parcels. It is predicted whether one or more shipments will be sent or arrive at a particular time based at least in part on running the plurality of features of the at least one shipper through the one or more learning models.

Abstract: A system for account mapping includes functionality for obtaining more than one labeled accounts labeled by more than one accountant; pre-processing more than one labeled accounts using natural language processing, using the more than one pre-processed labeled accounts to train an account mapping model that performs multinomial classification; receiving an account name from an accounting application where the account name includes a text label for an account included in a chart of accounts; generating an account mapping by applying the account mapping model to the account name, where the account mapping includes a type of the account, a sub-type of the account, a code, and a series associated with an accounting form; returning the account mapping to the accounting application through an Application Programming Interface (API); and receiving a corrected account mapping from an accountant and using the corrected account mapping as a new text label to incrementally update the account mapping model.

Abstract: Techniques are described for training a learning machine. One of these methods includes tracking interactions between a customer and customer service agents. The method includes generating a training set based on the tracked interactions. The method also includes generating a trained learning machine comprising training a learning machine using the training set.

Abstract: A system for managing and processing a consumer transaction is provided, comprising a product delivery system adapted to provide a product to a consumer; a point of sale (POS) system in communication with the product delivery system; and a consumer interface screen in communication with the POS system, wherein the consumer interface screen is adapted to display information to the consumer about a proposed transaction, prompt the consumer to engage in the proposed transaction, and receive input from the consumer required to complete the proposed transaction. The system further comprises a consumer recognition system having sensors capable of recognizing consumer attributes related to the consumer; and a media distribution unit in communication with the consumer recognition system to deliver information about the proposed transaction to the consumer interface screen based on recognition of the consumer attributes.

Abstract: A system and method that uses geo-location and a rules engine to facilitate compliance to federal, state, and local regulations as well as company policies across different jurisdictions that may have different compliance regulations. A mobile workforce may use the techniques herein to manage work assignments, report activities, and to manage and track time. This technology may be used, e.g., in the transportation industry, but is not limited to this industry.

Abstract: Embodiments described herein provide various examples of automatically processing surgical videos to detect surgical tools and tool-related events, and extract surgical-tool usage information. In one aspect, a process for automatically tracking usages of robotic surgery tools is disclosed. This process can begin by receiving a surgical video captured during a robotic surgery. The process then processes the surgical video to detect a surgical tool in the surgical video. Next, the process determines whether the detected surgical tool has been engaged in the robotic surgery. If so, the process further determines whether the detected surgical tool is engaged for a first time in the robotic surgery. If the detected surgical tool is engaged for the first time, the process subsequently increments a total-engagement count of the detected surgical tool. Otherwise, the process continues monitoring the detected surgical tool in the surgical video.

Abstract: A method for stock keeping in a store includes: accessing an image captured by a fixed camera within the store; retrieving a field of view of the fixed camera; estimating a segment of an inventory structure in the store depicted in the image based on a projection of the field of view onto a planogram of the store; identifying a set of slots within the inventory structure segment; retrieving a product model representing a set of visual characteristics of a product type assigned to a slot, in the set of slots, by the planogram; extracting a constellation of features from the image; if the constellation of features approximates the set of visual characteristics in the product model, detecting presence of a product unit of the product type occupying the inventory structure segment; and representing presence of the product unit, occupying the inventory structure segment, in a realogram.

Abstract: Systems and methods for the preparation of recipe-based products may include a computer-based system for parsing recipe steps and instructions, such that each of a plurality of product preparation stations receives and displays on an associated human-machine interface only those instructions associated with that product preparation station.

Abstract: A management device includes a distance sensor, a sensor interface, and a processor. The distance sensor is configured to measure a distance between a predetermined position and a backmost side of a commodity line having commodities biased in an arrangement direction and supported from a foremost side of the commodity line. The sensor interface transmits and receives data to and from the distance sensor. The processor calculates a length of the commodity line based on the distance before a change in the distance and the distance after the change in the distance when the distance is changed, and determines whether the length of the commodity line matches a thickness of the commodity indicated by shelf label information. The processor calculates the increased or decreased number of commodities based on the determination.

Abstract: Embodiments of the disclosure are drawn to apparatuses, systems, methods for performing operations associated with machine learning. Machine learning operations may include processing a data set, training a machine learning algorithm, and applying a trained algorithm to a data set. Some of the machine learning operations, such as pattern matching operations, may be performed within a memory device.

Abstract: Disclosed herein are various embodiments for publishing a service offer set to a device agent on an end-user device and for on-device selection of a service. In some embodiments, a network system publishes a service offer set to an end-user device over a wireless access network, receives an offer set user selection from the end-user device, and provisions one or more network functions based on the offer set user selection.

Abstract: Disclosed herein are various embodiments to prevent, detect, or take action in response to the moving a device credential from one device to another, the improper configuration of a service processor, a missing service processor, or the tampering with a service processor in device-assisted services (DAS) systems.

Abstract: Examples disclosed herein are relevant to systems, methods, and other technology for determining furniture compatibility. For example, graph neural networks (GNNs) that leverage relational information between furniture items in a set may be used as models to predict a compatibility score indicative of visual compatibility of furniture items across the set. In one implementation, the GNN-based model can extend the concept of a siamese network to multiple inputs and branches and use a generalized contrastive loss function. In another implementation, the GNN-based model learns both an edge function and the function that generates the compatibility score. The predicted compatibility score can be used for a variety of purposes, including furniture item recommendations.

Abstract: A technique involves modular storage of network service plan components and provisioning of same. A subset of the capabilities of a service design system can be granted to a sandbox system to enable customization of service plan offerings or other controls.

Abstract: Methods and apparatuses to manage service user discovery and service launch object placement on a device. A method comprising: obtaining information to assist in identifying a portion of a user interface of a wireless device, the wireless device communicatively coupled to a network system over a wireless access network; determining a differentiating attribute of the identified portion of the user interface; obtaining one or more service launch objects for placement in the identified portion of the user interface; and sending configuration information to the wireless device over the wireless access network to assist the wireless device in placing the one or more service launch objects in the identified portion of the user interface.