Abstract: Assisted checkout devices, including point-of-sale stations, can use computer vision and machine learning to speed the checkout process while maintaining human verification, assistance, and customer interaction provided by human clerks. A plurality of optical sensors, including cameras, can be arranged with different views of a checkout plane upon which items being purchased by a buyer are placed. Moreover, one or more support towers can be utilized to elevate the optical sensors to vertical heights at which the checkout plane, and items placed thereon, is within the field of view of the optical sensors. The information captured by the plurality of optical sensors can be analyzed using machine learning models to detect and identify the items placed on the checkout plane.

Abstract: Techniques for recommending plans to remediate a network topologies are disclosed. The techniques include logging network topology information identifying relationships between entities in a network topology over a number of time periods. The techniques also include, using the logged network topology information, predicting characteristics of the network at a future time period. The techniques further include computing a signature based on the predicted characteristics and, using the signature, determining whether the predicted characteristics meet remediation criteria. Additionally, the techniques include, in response to determining the predicted characteristics meet the remediation criteria, determining a remediation plan for the current network topology and presenting the plan to a user.

Abstract: Systems that determine relationships between network components of a cluster using packet filters are disclosed. A system can identify objects that implement services of a cluster and network connections associated with respective pairs of the objects. The system can also filter out network connections from the identified network connections. The filtering can remove connections between source objects and destination objects based on the destination objects lacking any components that implement a service in cluster. The filtering can also retain network connections between source objects and destination objects based on the source objects including components that implement at least one service, and based on the second destination object including components that implement at least one service. Additionally, the system can generate relationship maps and network topologies using the determined relationships.

Abstract: A method and system for monitoring ultrasound tests and notifying users about test results, are described. The method includes receiving ultrasound test data representing blood flow in a blood vessel, and receiving a notification condition having a flow parameter threshold for the blood flow. The method includes determining whether the ultrasound test data meets the notification condition, and transmitting, in response to the ultrasound test data meeting the notification condition, a notification. The notification is sent in real-time, concurrently with the ultrasound test, and includes a selectable reference to cause the display of the test results on a user device. Other embodiments are also described and claimed.

Abstract: The present disclosure relates to the development and design of bot interfaces and, more particularly, to one or more components, systems and methods of an intelligent development and design platform configured to assist users in the design, development and deployment of bot applications.

Abstract: Systems and methods for utilizing small sized Large Language Models (LLMs) for performing domain classification include responsive to training one or more machine learning models for performing classification of domains, the training including performing one or more optimizations to the one or more machine learning models, receiving a domain; obtaining data associated with the domain including log data from a cloud-based system that performs monitoring of a plurality of users; and analyzing the domain via the one or more trained machine learning models for classifying the domain.

Abstract: A method and system for controlling a hybrid power generation plant by receiving from a grid a data from among a power demand, a peak hour, a frequency, a ramp, a reactive power, or a voltage. A power production of power sources in the plant is varied depending on the received data and a characteristic of each of the power sources. The varying increases an active power produced by the plant while maintaining reactive power at a constant level by increasing a real power of a first power source while decreasing a reactive power produced by the first power source and simultaneously increasing a reactive power produced by a second power source without increasing a real power produced by the second power source. The first power source is a different type of power source from the second power source.

Abstract: Methods, systems, and devices for techniques for managing memory exception handling are described. A memory device may write first data associated with a first access command to a first portion of a buffer of a memory device. The memory device may determine a programming failure to write second data to a page of a first block of the memory device. In response to determining the programming failure, the memory device may perform an access operation associated with the first access command to vacate the first data from the first portion of the buffer. In response, the memory device may write the second data to the first portion of the buffer. The memory device may write the second data from the first portion of the buffer to a page of a second block of the memory device in response to writing the second data to the first portion of the buffer.

Abstract: An automated system and corresponding method is configured to predict a call duration of a customer service interaction between a caller and a customer-service agent of a call center, based at least in part on information provided orally by the caller to the automated system. The automated system transcribes the orally provided information, preprocesses the transcribed data, adds feature enrichment data to supplement the transcribed data, and executes a machine-learning model to predict the caller's intent. If the predicted caller's intent does not have an adequate confidence score associated therewith, the system requests additional data from the caller, and supplements the original data with newly provided data, and again determines a predicted call intent. This process may iterate until the confidence score satisfies applicable confidence criteria prior to utilizing two additional machine-learning models to predict a call duration of the interaction between the caller and a customer-service agent.

Abstract: To schedule a future interaction between a caller and a call-center, a management computing system associated with the call center is configured to determine an estimated call time for addressing the caller's issues, based at least in part on a predicted call intent as well as feature enrichment data received from one or more memory storage areas. Upon determining a predicted call duration for the call, the management computing entity accesses the caller's calendar, such as through an internet-based communication between the caller's user computing entity and the management computing entity, or via third-party access permissions provided by the caller. The management computing entity identifies one or more candidate timeslots based at least in part on the predicted call duration, and receives user input selecting a candidate timeslot for scheduling the callback.

Abstract: The present disclosure generally relates to a substrate support that includes a body having a substrate receiving surface, the body comprising a dielectric material. The body also includes a first foil embedded in the body below the substrate receiving surface. The body also includes an electrically conductive mesh embedded in the body below the first foil. The body also includes a center tap structure formed in a bottom surface of the body that is in electrical communication with the mesh.

Abstract: A method of leveraging artificial intelligence for post-call actions in contact center systems according to an embodiment includes receiving, by a computing system, a transcript of a contact center interaction between a contact center agent and a client in real time, analyzing, by the computing system, the transcript of the interaction to identify one or more action items to be performed with respect to the contact center interaction based on an artificial intelligence model, determining, by the computing system and for each action item of the identified one or more action items, at least one predefined action associated with the respective action item, receiving, by the computing system, an indication that the contact center agent has selected a particular predefined action associated with a particular action item, and performing, by the computing system, the selected predefined action.

Abstract: Systems and methods include extracting item parameters from images of items positioned at a POS system. UPC features included in the item parameters associated with each item when combined are indicative as to an indication of the UPC of each item. The UPC features are analyzed to determine whether the UPC features associated with each item when combined match a corresponding combination of UPC features stored in a database. The database stores different combinations of UPC features with each different combination of UPC features associated with a corresponding item thereby identifying each corresponding item based on each different combination of UPC features associated with each item. Each item positioned at the POS system is identified when the UPC features associated with each item when combined match a corresponding combination of UPC features as stored in the database.

Abstract: Systems and methods include automatically identifying items from images of items positioned at a POS system. Cameras capture images of the items in which each camera captures images with different FOVs of the items thereby capturing different item parameters of each item. The items are identified when item parameters of the items match item parameters previously identified and the items are failed to be identified when item parameters fail to match item parameters previously identified. Image pixels associated with each unknown item are extracted and mapped to real world coordinates associated with each unknown item as positioned at the POS system. A bounding polygon for each unknown item is generated that encapsulates each unknown item based on the image pixels mapped to the real world coordinates. The bounding polygon is projected onto each unknown item thereby providing feedback for each unknown item positioned at the POS system.

Abstract: Systems and methods include extracting item parameters from images of items positioned at a POS system. Item parameters associated with each item when mapped into a feature vector for each item are indicative as to an identification of the item. The feature vectors are analyzed to determine whether item parameters when combined and mapped into the feature vectors match a corresponding feature vector stored in a database. The database stores different combinations of item parameters as mapped into different stored feature vectors with different stored feature vectors associated with different items thereby identifying each item based on each different combination of item parameters as mapped into each stored feature vector associated with each item. Each item positioned at the POS system is identified when the feature vectors associated with each item match a corresponding stored feature vector as stored in the database.

Abstract: Systems and methods include extracting item parameters from images of items positioned at a POS system. Item parameters associated with each item when mapped into a feature vector for each item are indicative as to an identification of the item. The feature vectors are analyzed to determine whether item parameters when combined and mapped into the feature vectors match a corresponding feature vector stored in a database. The database stores different combinations of item parameters as mapped into different stored feature vectors with different stored feature vectors associated with different items thereby identifying each item based on each different combination of item parameters as mapped into each stored feature vector associated with each item. Each item positioned at the POS system is identified when the feature vectors associated with each item match a corresponding stored feature vector as stored in the database.

Abstract: A road obstacle warning system (A) includes a plurality of road units (1) and a power supply means for powering the road unit (1) through a main supply line (7). The road units (1) are disposed one adjacent to another on a road surface and configured to interconnect with each other. The road unit (1) includes a top body (2) and at least two shanks (3). The system (A) also includes at least one lighting element (4) comprising optical parameters for carrying light internally in order to glow the entire lighting element (4). The power supply means include any external power source include a solar power system, a step down power supply, a stored battery power supply or any other generated power supply. The road unit (1) is also powered by a wireless power source through induction means.

Abstract: A hydraulic multi-pole actuation system opens all poles of a circuit interrupter simultaneously. The system utilizes Thomson coil arrangements with a wide piston attached to the conductive member of each arrangement. A narrow piston is attached to the movable conductor of each pole assembly in the circuit interrupter. The wide and narrow pistons are contained within a hydraulic tank. Activating the Thomson coils causes the wide pistons to displace the hydraulic fluid, and the displaced fluid pushes against the narrow pistons to cause the movable conductors to open the line connections in their respective pole assemblies. The wide pistons have a greater collective surface area that interfaces with the hydraulic fluid than the narrow pistons do, enabling fewer Thomson coils arrangements to be used than there are poles in the circuit interrupter, and enabling movement of the wide pistons to be amplified during translation into movement of the narrow pistons.

Abstract: A system and computer-implemented method for a log analytics system that can configure, collect, parse, and analyze log records in an efficient manner. Log records are accessed, each of the log records is associated with a log source. A base parser is identified for parsing a log record based on a type of the log record indicated in the log source. The log record is parsed using the base parser to extract base field values corresponding to base fields. A base-parsed log record is generated on parsing. Sub-parsers are identified using field mappings. The field mappings include base field values mapped to corresponding sub-parsers. The base-parsed log record is parsed using the sub-parsers to extract sub-fields. The sub-fields are merged to the base fields to generate and present an output that includes the parsed log record, the base fields, base field values, the sub-fields and the sub-field values.

Abstract: The present invention discloses a mini pleat V cell filter assembly. The V cell filter assembly comprises a top panel, a bottom panel and a middle frame; all of which are manufactured in a single mold. The plastic meshes which are part of the single molded frame. Each wall of the V structure securely encloses the pleated filter for stronger burst resistance. The single molded mini pleat V cell filter assembly structure provides an higher burst strength estimated to withstand 10,000 Pascal or more of pressure.