Abstract: A method being implemented via execution of computing instructions configured to run at one or more processors. The method can include determining a primary store and one or more secondary stores for pickup of an order of a user, which can include: performing a first lookup call to a first cache of one or more proximate access points based on the primary store; and when a list of the one or more proximate access points is not retrieved in the first lookup call: performing a second lookup call to a second cache of active access points; determining the one or more proximate access points from among the active access points; and storing the one or more proximate access points in the first cache to update the first cache. The method also can include transmitting, for display to the user, a list of available time slots based on availability of time slots at the primary store and the one or more secondary stores. Other embodiments are described.

Abstract: A method for designing a low-complexity linear minimum mean squared error (LMMSE) and zero-forcing (ZF) receivers for MIMO-RCP-OTFS system is disclosed. The method includes steps of: computing a received signal vector (r) and structure of a matrix (?) using a channel matrix (H); reordering the matrix (?) to reduce bandwidth of the matrix (?); computing inverse of a banded matrix (G=LU) by multiplying the matrix (?) with permutation matrix (P) and with transpose of permutation matrix (PT) using Cholskey decomposition; calculating LMSSE/ZF equalized vector ({tilde over (r)}ce) by multiplying inverse of banded matrices with BW bandwidth (L and U), with the received signal vector (r=Pr) using forward and backward substitution algorithms; reordering the vector ({tilde over (r)}ce) to calculate vector (y); and calculating data vector ({circumflex over (d)}) representing an estimation of low-complexity LMMSE/ZF equalization by multiplying Hermitian matrix (B) with the vector (y).

Abstract: A method for integrating a machine learning (ML) model that impacts different factor groups for generating a dynamic recommendation to collectively optimize an objective factor is provided.

Abstract: Techniques for recommending a skill experience to a user after a user-system dialog session has ended are described. Upon a dialog session ending, the system uses a first machine learning model to determine potential intents to recommend to a user. The system then uses a second machine learning model to determine a particular skill and intent to recommend. The system then prompts the user to accept the recommended skill and intent. If the user accepts, the system calls the recommended skill to execute. As part of calling the skill, the system sends to the skill at least one entity provided in a natural language user input of the ended dialog session. This enables the skill to skip welcome prompts, and initiate processing to output a response based on the intent and the at least one entity of the ended dialog session.

Abstract: A system and method for managing sensor data associated with an Internet-of-Things (IoT) environment is disclosed herein. The method includes receiving, by a processing unit, sensor data from at least one sensing unit in the IoT environment. The sensor data includes at least one sensor reading and a reading timestamp associated with the sensor reading. The method further includes determining whether a conflict exists based on the reading timestamp, wherein the conflict is associated with the sensor data overwriting an existing record in a database. The database is configured for storing the sensor data associated with the at least one sensing unit in time-series format. If the conflict exists, the method further includes merging the sensor data to the record based on an ingestion timestamp associated with the sensor data. Otherwise, a new record is created.

Abstract: Methods and server systems for computing fraud risk scores for various merchants associated with an acquirer described herein. The method performed by a server system includes accessing merchant-related transaction data including merchant-related transaction indicators associated with a merchant from a transaction database. Method includes generating a merchant-related transaction features based on the merchant-related indicators. Method includes generating via risk prediction models, for a payment transaction with the merchant, merchant health and compliance risk scores, merchant terminal risk scores, merchant chargeback risk scores, and merchant activity risk scores based on the merchant-related transaction features. Method includes facilitating transmission of a notification message to an acquirer server associated with the merchant.

Abstract: A method being implemented via execution of computing instructions configured to run at one or more processors. The method can include determining a primary store and one or more secondary stores for pickup of an order of a user, based at least in part on a pickup type of the order. The method also can include determining real-time availabilities of first time slots at the primary store and real-time availabilities of second time slots at the one or more secondary stores. The method additionally can include generating a list of available time slots comprising at least a portion of the first time slots at the primary store and at least a portion of the second time slots at the one or more secondary stores, based at least in part on the real-time availabilities of the first time slots at the primary store and the real-time availabilities of the second time slots at the one or more secondary stores.

Abstract: Embodiments herein relate to a module which can be inserted into or removed from a computing device by a user. The module includes an input-output port which is configured for a desired specification, such as USB-A, USB-C, Thunderbolt, DisplayPort or HDMI. The port can be provided on an expansion card such as an M.2 card for communicating with a host platform. The host platform can communicate with different types of modules in a standardized way so that complexity and costs are reduced. In another aspect, with a dual port module, the host platform can concurrently send/receive power through one port and send/receive data from the other port.

Abstract: A beverage dispensing system is provided, including a main body having a base portion, and a cradle portion configured to support a beverage container including a beverage to be dispensed. The cradle portion may include an elongated cavity, and a shoulder configured to receive an inverted beverage container. The beverage dispensing system may further include an adaptor, and a self-venting tap, and the adaptor is configured to couple a beverage container to the self-venting tap, such that a beverage may be dispensed through the tap.

Abstract: An embodiment of the present invention is directed to financial transaction ecosystems. A transaction processing ecosystem comprises: a plurality of data sources; a capture interface; and a financial transaction processing system comprising a message bus and a plurality of processors interfacing with the message bus and configured to perform: receiving, via the capture interface, raw data for a payment transaction, wherein the raw data comprises client instructions; normalizing, via the capture interface, the raw data into a normalized transaction format based on a standard data model; publishing, via the capture interface, the normalized transaction format to a message bus; processing, via a first processor of the plurality of processors, the normalized transaction format; and completing the transaction.

Abstract: Methods, non-transitory machine readable media, and computing devices that manage storage operations directed to dual-port solid state disks (SSDs) coupled to multiple hosts are disclosed. With this technology, context metadata comprising a checksum is retrieved based on a first physical address mapped, in a cached zoned namespace (ZNS) mapping table, to a logical address. The logical address is extracted from a request to read a portion of a file. A determination is made when the checksum is valid based on a comparison to identification information extracted from the request and associated with the file portion. At least the first physical address is replaced in the cached ZNS mapping table with a second physical address retrieved from an on-disk ZNS mapping table, when the determination indicates the checksum is invalid. The file portion retrieved from a dual-port SSD using the second physical address is returned to service the request.

Abstract: Methods and systems for a storage environment are provided, including generating a plurality of child (or tetris) write requests to write data for a write request using a plurality of subdivisions of a plurality of logical zones defined for a plurality of zoned solid state drives (ZNS SSDs) of a RAID array, each LZone mapped to one or more logical RAID zone (RZone) of the ZNS SSDs having a plurality of physical zones across a plurality of independent media units of each ZNS SSD; assigning a sequence number to each child (or tetris) write request corresponding to each subdivision, the sequence number indicating an order in which the child (or tetris) write requests are to be processed; and selecting, based on the assigned sequence number, one or more subdivisions for sequentially writing data to one or more RZones of the plurality of ZNS SSDs.

Abstract: The present disclosure provides a system and a method for enabling an entity to implement a re-order/consumption rate associated with a product for each vendor/customer and generates a quantity optimization for loss reduction. The product may include perishable consumables utilized by users. The system utilizes clustering of data obtained from customer and merchants. Further, the system implements statistical models to estimate consumption rate of each product, affinity towards products, brands, and popularity of products across locations.

Abstract: A non-transitory computer readable medium (26) stores a schedule (32) of patient appointments; and instructions executable by at least one electronic processor to perform a patient appointment notification method (100) including, for a patient having a patient appointment on the schedule: providing a messaging system via which patient appointment notifications are pushed to the patient; converting data related to the patient and the patient appointment into features; analyzing the features to determine a score (40) indicative of likelihood of the patient no-showing the appointment; adjusting, based on the score, at least one of (i) times at which the messaging system pushes patient appointment notifications (50) to the patient and/or (ii) content of the patient appointment notifications pushed to the patient and/or (iii) an interactivity of the patient appointment notifications pushed to the patient.

Abstract: A file system and a related method are presented. The file system includes an object storage configured to store file data for one or more files and a plurality of namespace entries corresponding to file data and/or metadata of the one or more files as one or more objects. Each namespace entry of the plurality of namespace entries includes an operation type conducted on the file data and/or metadata captured in a particular snapshot and a version number corresponding to the particular snapshot. The file system further includes an indexing system configured to generate the plurality of namespace entries; store the plurality of namespace entries as one or more objects in the object storage; and identify, in response to a search query, one or more files for retrieval from the object storage based on a list of the plurality of namespace entries sorted on the version numbers.

Abstract: A file system and a related method are presented. The file system includes a data storage including a plurality of data blocks; a merge index including a plurality of namespace entries, wherein the plurality of namespace entries include a plurality of blockmap entries and a plurality of local reference entries; a deduplication database including a plurality of deduplication indices and a plurality of global reference entries for a plurality of datasets; and an indexing system configured to generate the plurality of namespace entries and the plurality of global reference entries.

Abstract: A data management system may maintain a total-size counter for the file system. The total-size counter represents a sum of data size related to snapshots backed up to the file system. The data management system may perform data operation cycles to the file system. Each data operation cycle corresponds to a snapshot that includes files. Each data operation cycle may include incrementing the total-size counter by the data size of the files in the snapshot exchanged with the file system and adding, to a snapshot record, the amount of increment in incrementing the total-size counter as an increment-size counter. A data management system may perform a correction operation to correct the total-size counter. The correction operation may change the total-size counter by a difference between the total of the increment-size counters in the snapshot records and the total data size of file data exchanged with the file system.

Abstract: Techniques for validating large amounts of sensitive data migrated across multiple platforms without revealing the content of the sensitive data are provided. For example, a processing device can transform data in a first data file stored on a first platform to common data formats. The processing device can generate a first set of hash values. The processing device can receive a second set of hash values for a second data file stored on a second platform. The processing device can compare the first set of hash values and the second set of hash values and cause the first data file or the second data file to be modified based on a difference between the sets of hash values.

Abstract: Methods, non-transitory machine readable media, and computing devices that manage storage operations directed to dual-port solid state disks (SSDs) coupled to multiple hosts are disclosed. With this technology, context metadata comprising a checksum is retrieved based on a first physical address mapped, in a cached zoned namespace (ZNS) mapping table, to a logical address. The logical address is extracted from a request to read a portion of a file. A determination is made when the checksum is valid based on a comparison to identification information extracted from the request and associated with the file portion. At least the first physical address is replaced in the cached ZNS mapping table with a second physical address retrieved from an on-disk ZNS mapping table, when the determination indicates the checksum is invalid. The file portion retrieved from a dual-port SSD using the second physical address is returned to service the request.

Abstract: A non-invasive, transcutaneous, real-time viral detection device that is configured for self-administration, e.g., at a user's home. In one embodiment, and after positioning the device relative to the human body part (e.g., the user's finger), light sources in the device are activated (excited), and resulting data captured. In particular, a set of Raman spectra are collected from a configured set of emitters and detectors in the device and delivered to a nearby receiver, preferably wirelessly. The receiver filters and de-convolves the Raman spectra producing a data set representative of the constituent elements in the user's tissue of interest. The data set is applied against a statistical classifier, e.g., a neural network that has been trained to recognize and distinguish the absence or presence of viral components, e.g., C-19, or its associated blood-borne acute phase reactants.