Abstract: Disclosed embodiments may include a system for providing automated bill splitting. The system may receive speech data. The system may identify, from the speech data and using natural language processing, one or more users. The system may determine, from the speech data and using natural language processing, orders of the one or more users. The system may determine, from the speech data and using natural language processing, rules for the orders of the one or more users. The system may process one or more payments for the orders based on the rules and one or more credentials associated with the one or more users.

Abstract: Disclosed embodiments may include a method and system for automated incremental payments. The system may identify recurring charges from historical account data. Based on the recurring charges and an incremental period, the system may calculate an incremental amount and expected amount. At each iteration of the incremental period, the incremental amount may be assigned to a savings bucket. The value of the savings bucket may be subtracted from an actual account balance to calculate a reduced account balance. The system may generate and transmit a graphical user interface to a user device showing the reduced account balance. The system may receive current data containing a charge that corresponds to the recurring charges. The system may reduce the value of the savings bucket by the amount of the current data charge. If the current data charge is different from the expected amount, the system may adjust the incremental amount accordingly.

Abstract: An electric pushback vehicle includes a frame having a forward portion and a rear portion. The vehicle further includes front drive axle and a rear drive axle configured to communicate power to ground engaging members. A traction battery is housed within the electric pushback vehicle and provides electric power to an electric motor to drive an output shaft. A transmission is connected to receive mechanical power from the electric motor through a torque converter.

Abstract: A pocket coil spring assembly is provided that includes a coil spring having an upper portion and a lower portion collectively defining an interior cavity of the coil spring. The pocket coil spring assembly further includes a fabric pocket encasing the coil spring with a top area covering the upper portion of the coil spring and a bottom area covering the lower portion of the coil spring. A discrete amount of flexible foam is poured on the top of the fabric pocket such that a top surface of the flexible foam extends above the coil spring. A mattress assembly is further provided that includes the flexible foam dispensed in continuous or discrete amounts between rows of pocket coil springs.

Abstract: In some implementations, a server may receive, from a user device, one or more credentials associated with a user. Accordingly, the server may transmit, to the user device, instructions for generating a user interface including a plurality of visual components based on authenticating the user with the one or more credentials. The server may detect, during a first interval, a lack of interaction with the user interface. Accordingly, the server may remove one of the plurality of visual components from the user interface based on the lack of interaction. Additionally, the server may detect, during a second interval, one or more interactions with the user interface and may update a similarity score associated with the user based on properties associated with the one or more interactions. Accordingly, the server may restore the visual component to the user interface based on the updated similarity score satisfying a similarity threshold.

Abstract: Aspects of the disclosure relate to using a machine learning system to process a corpus of documents associated with a user to determine a user-specific consequence index. A computing platform may load a corpus of documents associated with a user. Subsequently, the computing platform may create a first plurality of smart groups based on the corpus of documents, and then may generate a first user interface comprising a representation of the first plurality of smart groups. Next, the computing platform may receive user input applying one or more labels to a plurality of documents associated with at least one smart group. Subsequently, the computing platform may create a second plurality of smart groups based on the corpus of documents and the received user input. Then, the computing platform may generate a second user interface comprising a representation of the second plurality of smart groups.

Abstract: A patient transport apparatus (100) for transporting a patient along stairs. A seat section (104) is coupled to a support structure (102) supporting a track assembly (154) having a belt. A motor selectively generates torque to drive the belt. An upper area light module (335) is configured to illuminate light directed at floor surfaces in a rearward direction and constrained to a rearward volume to prevent the light from obstructing a view of a user engaging an upper handle assembly (132). A user interface (204) including an activation input control (214) for controlling the motor and an area light input control (334) for controlling the upper area light module (335) is arranged for engagement by the user. A controller (212) is configured to permit operation of the motor based on the activation input control and to operate the upper area light module in a first or second state based on user engagement of the area light input control.

Abstract: The present invention relates to a kit used to configure, assemble, and reassemble play set apparatuses. More specifically, the present invention relates to a kit with several components which may be used in conjunction with one or more other components to form play set apparatuses. Still more specifically, the present invention relates to a kit with components that may be configured to form play set apparatuses including but not limited to a balance beam, a seesaw, a chair, a slide, and a rocking device.

Abstract: A power rail for powering a power driver assembly includes a rail member extending between a front end and a rear end. The rail member has a track including a channel between an upper support beam and a lower support beam. The track extends between the front end and the rear end. The track configured to receive a driver circuit card of the power driver assembly. The power rail includes a power contact having a base coupled to the rail member. The power contact includes a cable termination terminated to a power cable. The power contact includes a mating beam extending from the base into the channel. The mating beam has a mating interface configured to be mated to a power pad of the driver circuit card when the driver circuit card is plugged into the track of the rail member.

Abstract: Aspects of the disclosure relate to using a machine learning system to process a corpus of documents associated with a user to determine a user-specific consequence index. A computing platform may load a corpus of documents associated with a user. Subsequently, the computing platform may create a first plurality of smart groups based on the corpus of documents, and then may generate a first user interface comprising a representation of the first plurality of smart groups. Next, the computing platform may receive user input applying one or more labels to a plurality of documents associated with at least one smart group. Subsequently, the computing platform may create a second plurality of smart groups based on the corpus of documents and the received user input. Then, the computing platform may generate a second user interface comprising a representation of the second plurality of smart groups.

Abstract: A system detects the occurrence of a vehicle event designated as a trigger. The system obtains interaction data, representing user interface interactions with a user interface of a vehicle, recorded by the vehicle for a predefined time period leading to the event. Further, the system, for any obtained interaction data, compares the data to historical data indicating interactions with a user interface prior to previous events comparable to the detected event to determine whether there is at least one correlation between user interface interaction and the occurrence of events comparable to the detected event and, responsive to a determined correlation, instructs modification of an aspect of the user interface of the vehicle, the aspect associated with interactions represented by the interaction data.

Abstract: An electric pushback vehicle includes a frame having a forward portion and a rear portion. The vehicle further includes front drive axle and a rear drive axle configured to communicate power to ground engaging members. A traction battery is housed within the electric pushback vehicle and provides electric power to an electric motor to drive an output shaft. A transmission is connected to receive mechanical power from the electric motor through a torque converter.

Abstract: A system is provided for classifying an instruction sequence with a machine learning model. The system may include at least one processor and at least one memory. The memory may include program code that provides operations when executed by the at least one processor. The operations may include: processing an instruction sequence with a trained machine learning model configured to detect one or more interdependencies amongst a plurality of tokens in the instruction sequence and determine a classification for the instruction sequence based on the one or more interdependencies amongst the plurality of tokens; and providing, as an output, the classification of the instruction sequence. Related methods and articles of manufacture, including computer program products, are also provided.

Abstract: The present invention relates to a kit used to configure, assemble, and reassemble play set apparatuses. More specifically, the present invention relates to a kit with several components which may be used in conjunction with one or more other components to form play set apparatuses. Still more specifically, the present invention relates to a kit with components that may be configured to form play set apparatuses including but not limited to a balance beam, a seesaw, a chair, a slide, and a rocking device.

Abstract: The pipe ball joint includes a casing having a socket portion with a substantially spherical interior surface and a first pipe segment extending from the socket portion. The socket portion has an annular groove disposed adjacent the partially spherical interior surface. A ball pipe section includes a ball segment received in the socket portion of the casing and a second pipe segment extending from the ball segment. A seal assembly is received in the annular groove of the casing and is disposed against the ball segment of the ball pipe section. The seal assembly includes a plurality of nested seal rings that each include a concave face and a convex face.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for generation and management of controlled-use resources which allow the sender of an electronic resource transfer to limit the ways in which the recipient may use the received resources. This invention allows the sender to maintain control over the products or services purchased with transferred resources, as well as personalize a transfer for a recipient by selecting a favorite merchant or spending category of the recipient. The invention may also benefit a plurality of merchants and other third party entities which may obtain new customers as a result of said customers receiving controlled-use resources designated for said merchants.

Abstract: In one respect, there is provided a system for training a machine learning model to detect malicious container files. The system may include at least one processor and at least one memory. The at least one memory may include program code that provides operations when executed by the at least one processor. The operations may include: training, based on a training data, a machine learning model to enable the machine learning model to determine whether at least one container file includes at least one file rendering the at least one container file malicious; and providing the trained machine learning model to enable the determination of whether the at least one container file includes at least one file rendering the at least one container file malicious. Related methods and articles of manufacture, including computer program products, are also disclosed.

Abstract: The pipe ball joint includes a casing having a socket portion with a substantially spherical interior surface and a first pipe segment extending from the socket portion. The socket portion has an annular groove disposed adjacent the partially spherical interior surface. A ball pipe section includes a ball segment received in the socket portion of the casing and a second pipe segment extending from the ball segment. A seal assembly is received in the annular groove of the casing and is disposed against the ball segment of the ball pipe section. The seal assembly includes a plurality of nested seal rings that each include a concave face and a convex face.