Abstract: A method may include obtaining a dataset that may include one or more columns, wherein each of the one or more columns may include a title and at least one value. The operations may further include extracting, for each of the one or more columns, the title and a sample value from the at least one value. The operations may additionally include, synthesizing a question based on the title and the sample value for each of the one or more columns. Further, the operations may include sending the question to a language model to obtain an answer. The operations may additionally include generating from the answer to the question, a predicted unit of measurement for the at least one value in each of the one or more columns. Systems and devices for performing the method are also disclosed.

Abstract: A method may include obtaining a dataset that may include at least a first column and a second column, with a first title and a first value and a second title and a second value, respectively. The operations may further include determining a total similarity value between the first and second columns based on a metadata similarity value, a semantic similarity value, and/or a unit of measurement similarity value; adding the first and second columns to a cluster if the total similarity value is less than a threshold value; generating a new column to add to the cluster using a feature engineering function, where the new column may include a new title and a new value, the new value determined using the feature engineering function by acting on the first value and/or the second value. Further, the operations may include adding the new column to the dataset.

Abstract: Techniques for placing and manipulating multiple three-dimensional (3D) models using mobile augmented reality (AR) are described. One technique includes receiving a first request to initialize an AR simulation of a first product for sale within a physical environment. In response to the first request, a first 3D model of the first product for sale is rendered onto the screen. After rendering the first 3D model, a second request to visualize a second product for sale within the physical environment is received during the AR simulation of the first product for sale. In response to the second request, a second 3D model of the second product for sale is rendered onto the screen with the first 3D model.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media that utilize a consolidated graphical user interface for visually presenting the state of a user profile with respect to a workflow journey. For instance, in one or more embodiments, the disclosed systems provide, for display within a graphical user interface of a client device, a visual representation of a workflow journey comprising a plurality of nodes and one or more edges connecting the plurality of nodes. Additionally, the disclosed systems receive, via the graphical user interface of the client device, an identifier associated with a user profile. The disclosed systems further modify, within the graphical user interface of the client device, the visual representation of the workflow journey to reflect a state of the user profile with respect to the workflow journey.

Abstract: A method of machine learning algorithm selection may include obtaining a dataset that includes multiple data entries. In some embodiments, each of the data entries may include multiple features and one of the multiple features may be designated as a target variable. The method may further include selecting a subset of the data entries. In some embodiments, selecting the subset of the data entries may include binning the data entries into multiple data bins based on values in the target variable and selecting a subset of the binned data entries from each of the multiple data bins as the subset of the data entries. The method may further include constructing multiple machine learning models using the subset of the data entries and selecting one of the multiple machine learning models based on an evaluation of the multiple machine learning models.

Abstract: The method for item recognition can include: optionally calibrating a sampling system, determining visual data using the sampling system, determining a point cloud, determining region masks based on the point cloud, generating a surface reconstruction for each item, generating image segments for each item based on the surface reconstruction, and determining a class identifier for each item using the respective image segments.

Abstract: Systems and methods for customer journey optimization are described.

Abstract: An instrument (10) to downfold an intrauterine device (30), comprising a base (20) with a delatcher (26); a navigator (50) having an aligner plug (51A), a slot (56); an open converger (40) having a flange (45), a covered channel (41); a driver assembly (60) having a bidirectional carrier (61), a graduated tube (71), and a latching rod (81); and a gated support (90) having a leafy arm (91) and a downward fork (94) forming an inverted “U” gate (95) having sloped edges (97) with end points (96), at the other end, a holder (92) having an elongated grip (93) on either side; wherein a lower end (37) of the stem (33) of IUD (30) sits on a conical seat (82) having two resting points (83) on the latching rod (81), while a knot (38) of the string (31) sits in the knot room (84) on the latching rod (81).

Abstract: An instrument to prepare and safely place an intra-uterine device in uterus of a woman, comprising a dynamic stopper, a string management arrangement whereby a string of an IUD is in one of a locked condition or an unlocked condition, an operating device, further comprising a base, a cover a carriage, wherein the dynamic stopper slidably resides in the base and can slide by the sliding length, wherein the string exits from an outpoint and re-enters from an inpoint, the outpoint is at a trim length and the inpoint is at a conservative length. The string can be trimmed as per sounding measurement of uterus of woman, before inserting the instrument in uterus and string entanglement possibilities are eliminated, irrespective of type of IUD.

Abstract: A breath actuated metered dose inhaler including a housing, a canister and a trigger mechanism. The trigger mechanism is activated by the inhalation of air which comprises of a diaphragm. The central rigid disk of the diaphragm is provided with the interlocking means to firmly secure and bound the peripheral flexible polymer ring with the central rigid disc. The mechanical interlock between a central rigid disk and a peripheral flexible polymer ring on the diaphragm prevent peripheral flexible polymer ring from being peeled off from the central rigid disc while the vacuum is being retained prior to inhalation.

Abstract: Disclosed is an improved approach to integrate distributed applications into an XA transaction. A transaction manager library is integrated into a distributed application, where the transaction manager library provides the benefit of implementing optimizations for the XA transaction, as well as minimizing or eliminating the need to create custom software code to make the application operable with the transaction manager for the XA transaction.

Abstract: Provided herein are new devices for indicating the status of events, such as the number of relevant events that are remaining and/or that have already occurred up to the present moment and to related devices, systems, and methods. In some aspects, the event-related indicator devices of the invention are used within larger dispensing devices or systems, e.g., to provide the status of administration of a substance contained therein (e.g., a drug). In an exemplary embodiment, the indicator devices find particular utility within medicament dispensers, such as metered dose inhalers, to provide a visual indication of the status of doses having been or remaining to be administered.

Abstract: A processor-implemented method includes generating, by a scheduling model, a group of schedules from a computation graph associated with a task, each node on the computation graph being associated with an operation of an artificial neural network, each schedule of the group of schedules associating each node of the computation graph with a processor of a group of processors of a hardware device. The processor-implemented method also includes testing one or more schedules of the group of schedules on the hardware device or a model of the hardware device. The processor-implemented method further includes selecting a schedule of the one or more schedules based on testing the one or more schedules, the selected schedule satisfying a selection condition.

Abstract: A processor-implemented method includes sampling, according to a priority sampling policy, a set of node priorities from a computation graph. Each node priority of the set of node priorities may be associated with a respective node on the computation graph. Additionally, each node may represent an operation of a task performed by an artificial neural network. The method also includes converting, via a list scheduling function, the node priorities to a schedule that associates each node of the computation graph with a processor of a group of processors of a device associated with the artificial neural network, the schedule associated with a makespan. The method further includes performing the task in accordance with the schedule.

Abstract: Embodiments herein disclose path selection for data traffic within a software-defined wide area network using traffic metrics. Some embodiments relate to a method that includes polling peers of the SD-WAN for traffic metrics, receiving traffic metrics from at least a portion of the peers, combining the received traffic metrics, calculating performance of a plurality of possible paths from a source node to a destination node, the nodes being within the SD-WAN topology, and selecting a path from the source node to the destination node based on the calculated performance.

Abstract: A technique efficiently migrates a live virtual disk (vdisk) across storage containers of a cluster having a plurality of nodes deployed in a virtualization environment. Each node is embodied as a physical computer with hardware resources, such as processor, memory, network and storage resources, that are virtualized to provide support for one or more user virtual machines (UVM) executing on the node. The storage resources include storage devices embodied as a storage pool that is logically segmented into the storage containers configured to store one or more vdisks. The storage containers include a source container having associated storage policies and a destination container having different (new) storage policies.

Abstract: Systems and methods for customer journey orchestration are described. One or more aspects of the systems and methods include identifying, by a customer journey orchestration application, a customer journey having a previously unidentified fault; initiating, by a mode selection component, a debug mode of the customer journey orchestration application for the customer journey; receiving, by a graphical user interface of the customer journey orchestration application, a user input corresponding to an event of a plurality of events of the customer journey; simulating, by an event simulation component, the event based on the user input and the debug mode; determining, by a status component, a status of the event based on the simulation; and identifying, by a fault identification component, the previously unidentified fault based on the status of the event.

Abstract: Methods, systems, and programs are presented for simultaneous recognition of objects within a detection space utilizing three-dimensional (3D) cameras configured for capturing 3D images of the detection space. One system includes the 3D cameras, calibrated based on a pattern in a surface of the detection space, a memory, and a processor. The processor combines data of the 3D images to obtain pixel data and removes, from the pixel data, background pixels of the detection space to obtain object pixel data associated with objects in the detection space. Further, the processor creates a geometric model of the object pixel data, the geometric model including surface information of the objects in the detection space, generates one or more cuts in the geometric model to separate objects and obtain respective object geometric models, and performs object recognition to identify each object in the detection space based on the respective object geometric models.

Abstract: Disclosed are techniques for wireless positioning. In an aspect, a wireless device receives one or more radio frequency (RF) signals from a transmitter device, displays a first arrow and a second arrow on a user interface of the wireless device, a direction of the first arrow representing a first angle-of-arrival (AoA) estimate of the one or more RF signals, and a direction of the second arrow representing a mirror AoA estimate of the first AoA estimate, and displays one or more notifications on the user interface instructing a user of the wireless device to move the wireless device until the direction of the first arrow is aligned with the direction of the second arrow.

Abstract: A method or system of providing data privacy compliance at a server with respect to a right to be forgotten can include one or more processors configured for receiving key information, data, and an expiration date in response to a request to create a key by a data subject to a key management service, sending a request to and receiving a key from the key management system, encrypting the data at the server with the key to provide encrypted data, storing the encrypted data in a storage, receiving a request to access the data, attempting to retrieve the key by the server, and denying access to the data in response to the request after a request from the data subject to revoke the key. In some embodiments, the key information received by the server is Hold Your Own Key and the encryption of data is Hold Your Own Encryption.