Abstract: A computer-implemented method for training an NN model for name screening based on a sanction list of fraud entities includes (i) preparing labeled-data based on the sanction list of fraud entities; (ii) training the NN model based on the labeled data to calculate embeddings of each entity name in the labeled data for each two or three sub-networks of the NN model; (iii) forwarding the embeddings to a loss function to yield an indication as to necessity to adjust weights in the two or three sub-networks of the NN model; (iv) repeating operations (ii)-(iii) when the loss function indicated necessity to adjust weights in the two or three sub-networks of the NN model; and (v) storing the embeddings of each entity name in a database of embeddings. The sanction list of fraud entities is stored in a database of entities, and each entity has a name and other attributes.

Abstract: The chopper assembly includes a rotatable chopper drum having a plurality of knives mounted between two sidewalls and configured to cut larger plant material into smaller particles through the interaction of the knives and a set of counterknives. A guide surface is mounted on at least one of the sidewalls, preferably on both sidewalls, and in the path of a stream of crop material advancing towards the chopper assembly. The guide surface extends between an upstream edge lying essentially in the plane of the sidewall and a downstream edge removed from the sidewall. The guide surface is furthermore inclined relative to the sidewall, so as to guide plant material away from the sidewall and in the direction of the knives located closest to the sidewall. The guide surface thereby prevents plant material from passing between the knives and the sidewall without being cut.

Abstract: There are provided systems and methods for determining processing weights of rule variables for rule processing optimization. A service provider, such as an electronic transaction processor for digital transactions, may utilize different decision services that implement rules for decision-making of data including real-time data in production computing environments. Rules may correspond to coded statements that perform an automated decision-making service for the computing services and platforms of the service provider. When writing rules, different variables for data objects may be utilized, where each variable may perform a different operation and/or utilize a different operation for fetching and retrieving data used during rule processing. Each variable may therefore have a different data processing weights based on processing requirements of the data. Thus, optimization of rule authoring may be performed by mapping variables to other similar variables and showing a processing weight of each variable.

Abstract: Aspects of the present disclosure provide a method for wireless communications by a user equipment (UE). The method generally includes receiving a measurement configuration, wherein the measurement configuration indicates at least one or more frequency bands, determining, based on one or more parameters, a periodicity for measuring the at least one or more frequency bands, and performing measurements of the at least one or more frequency bands according to the determined periodicity.

Abstract: Systems, devices, methods, and computer readable media are provided in various embodiments relating to generating a dynamic challenge passphrase data object. The method includes establishing, a plurality of data record clusters, representing a mutually exclusive set of structured data records of an individual, ranking the plurality of feature data fields based on a determined contribution value of each feature data field relative to the establishing of the data record cluster, and identifying, using the ranked plurality of feature data fields, a first and a second feature data field of the plurality of feature data fields. The method includes generating the dynamic challenge passphrase data object, wherein the first or the second feature data field is used to establish a statement string portion, and a remaining one of the first or the second feature data field is used to establish a question string portion and a correct response string.

Abstract: Systems and methods conversational shopping based on machine learning using both text and image data are disclosed. In some embodiments, a disclosed method includes: obtaining, from a computing device, a search request identifying a reference image representing a first product and a textual query associated with the reference image; computing a text embedding in an embedding space based on the textual query; computing an image embedding in the embedding space based on the reference image; determining, based on at least one machine learning model, a target image representing a second product based on the text embedding and the image embedding; and transmitting, to the computing device, the target image in response to the search request.

Abstract: In various examples, query response generation using entity linking for conversational AI systems and applications is described herein. Systems and methods are disclosed that generate embeddings associated with entities that a dialogue system is trained to interpret. The systems and methods may then use the embeddings to interpret requests. For instance, when receiving a request, the systems and methods may generate at least an embedding for an entity included in the request and compare the embedding to the stored embeddings in order to determine that the entity from the request is related to one of the stored entities. The systems and methods may then use this relationship to generate the response to the query. This way, even if the entity is not an exact match to a stored entity, the systems and methods are still able to interpret the query from the user.

Abstract: In one embodiment, a test process herein may: execute an application under test; monitor execution of the application under test for system calls specific to a particular operating system in which the application under test is being executed; capture a count of system calls specific to the particular operating system during the execution of the application under test; and compute a portability metric based on the count of system calls specific to the particular operating system, the portability metric indicative of how dependent the application under test is on the particular operating system.

Abstract: A system and method for facilitating communication between a control server and robotic devices are provided. An integration engine of the system identifies protocol schemes and message schemes that are supported by the control server and robotic devices. When the protocol schemes and message schemes of the control server and the robotic devices are same, the integration engine facilitates transmission and reception of instructions between the control server and the robotic devices through identified communication interfaces. When the protocol schemes and message schemes of the control server and the robotic devices are different, the integration engine translates the protocol schemes and message schemes that are received from one of the control server and the robotic devices to facilitate communication between the control server and the robotic devices through identified communication interfaces.

Abstract: The present disclosure encompasses solid state forms of Vericiguat, in embodiments crystalline polymorphs of Vericiguat, processes for preparation thereof, and pharmaceutical compositions thereof.

Abstract: A steering wheel includes a steering wheel body, an airbag module, and a damper unit that connects the steering wheel body and the airbag module. The airbag module is mounted to the steering wheel body via the damper unit facing in a Z-axis first direction that is an example of a first direction. The damper unit is configured to apply a force on the airbag module in a state where the airbag module is mounted on the steering wheel body in a direction of pushing up the airbag module in a direction that intersects with the Z-axis first direction.

Abstract: In an example implementation consistent with the features disclosed herein, network management system deployments with a large operational footprint are given a longer grace period before they are forced to upgrade than network management system deployments with a small operational footprint. Criticality scores for the network management system deployments are calculated based on the operational footprints of the network management system deployments. The network management system deployments are grouped into criticality groups based on the criticality scores for the network management system deployments. The network management system deployments are forced to upgrade within timelines that are based on the criticality groups in which the network management system deployments are grouped.

Abstract: Systems and methods for providing an automated quality assurance framework for infrastructure as code (“IaC”) implementations are provided. Pull requests with proposed change to existing IaC source code (“changed code”) are received from user devices, each associated with either a service enablement team member or an applications development team member. Team specific versions of the quality assurance framework are automatically triggered for the changed code which require successful passage through multiple modules, such as in a successive manner, before automatically being merged into the existing IaC source code.

Abstract: Aspects of the disclosure are directed to kernel selection. In accordance with one aspect, disclosed is an apparatus and method for inputting a plurality of valid software kernels to a trained machine learning (ML) model engine; configuring the trained ML model engine to generate a first trained machine learning (ML) model based on the plurality of valid software kernels; and using the first trained ML model to generate a machine learning (ML)-selected software kernel based on the plurality of valid software kernels.

Abstract: A system and method for evaluating Boolean functions using in-memory computing comprising a plurality of programmed non-volatile memory devices synthesized in a crossbar design. The evaluation phase of a given Boolean function using the programmed non-volatile memory devices is accomplished using READ operations only.

Abstract: This specification describes an adaptive robotic nursing assistant for physical tasks and patient observation and feedback. In some examples, the adaptive robotic nursing assistant includes an omni-directional mobile platform; a footrest on the omni-directional mobile platform; a handlebar located above the footrest such that a user standing on the footrest can grasp the handlebar; a display above the handlebar and at least one user input device; a robot manipulator comprising a robotic arm and an end effector on the robotic arm; and a control system coupled to the omni-directional mobile platform, the control system comprising at least one processor and memory storing executable instructions for the at least one processor to control the omni-directional mobile platform.

Abstract: Systems and methods for manual gesture recognition to control prosthetic devices. Low encumbrance systems utilizing glove-based recognition to control prosthetic devices. Prosthetic control systems and methods are also provided utilizing elements for application on the user's fingernails.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may establish a radio resource control (RRC) connection with a base station. The UE may receive, from the base station, parameters associated with a set of frequency bands, the parameters indicating a priority of each frequency band of the set of frequency bands. The UE may then measure, based on the priority, one or more frequencies of at least one frequency band of the set of frequency bands. The UE may then transmit, after a time delay and to the base station, a measurement report including measurements of one or more frequency bands of the set of frequency bands.