Abstract: The present disclosure relates to systems and methods that enhance log data processing by asynchronously processing log data for detecting log messages that include errors and enriching the log messages with annotations that identify the errors. More particularly, log data that includes log records can be received. The log data can be asynchronously processed to validate a configuration of each log record and to validate data included in each log record. An attribute of a particular log record can be determined to correspond to an error. A category of the error can be determined. An enriched log record can be generated by augmenting the particular log record with error information indicating the category. The enriched log record can be transmitted via a user interface to facilitate correction of the error.

Abstract: Systems and methods include identifying a cloud application; performing one or more automated scripts to determine a first set of attributes of the cloud application; obtaining a second set of attributes of the cloud application based on a manual analysis; obtaining weighting factors for the first set of attributes and the second set of attributes; determining a risk score of the cloud application based on the first set of attributes and the second set of attributes and the associated weighting factors; and displaying the risk score of the cloud application. The steps can further include enforcing security policies for the cloud application based on the risk score, such as via one of a cloud-based system and a Cloud Access Security Broker (CASB) system.

Abstract: A camera device for a vehicle is disclosed. The camera device includes a printed circuit board extending in a main plane, one or more electronic components mounted on a surface of the printed circuit board, an electrically conductive housing accommodating the printed circuit board, and electrically conductive elements for shielding the one or more electronic components from electromagnetic interference. The housing includes a wall extending perpendicularly to the main plate of the printed circuit board and surrounding the one or more electronic components. The electrically conductive elements are surface mounted on the printed circuit board such that they surround the one or more electronic components surround the one or more electronic components, and are compressed elastically between the wall and the printed circuit board.

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: Techniques for recommending plans to remediate a network topologies are disclosed. The techniques include predicting characteristics of the network using network topology information identifying relationships between entities in the network. The techniques further include determining a subset of the topology based on the predicted characteristics violating anomaly detection criteria. Additionally, the techniques include determining a remediation plan for modifying the subset and presenting the plan to a user.

Abstract: Methods, systems, and devices for data management are described. A data management system (DMS) may receive a request to backup data from a source data storage environment to a target data storage environment. The DMS may then input first workload metadata associated with backing up the data from the source data storage environment to the target data storage environment into a machine learning model that is trained using second workload metadata associated with a set of workloads managed by the data management system. The DMS may generate, via the machine learning model and in response to the request, one or more service level agreement configurations for backing up the data. Then, the DMS may perform the backup of the data from the source data storage environment to the target data storage environment in accordance with at least one of the one or more service level agreement configurations.

Abstract: A method and associated apparatus are provided for retrieving an object from a multi-depth object storage. The method includes retrieving, via a shuttle, at least a first object from a first depth of a storage location and a second object from a second depth of the storage location. The first depth is less than the second depth, such that the first object positioned at the first depth interferes with retrieval of the second object positioned at the second depth. The method also includes manipulating the first object and the second object, such that the first object is positioned to be disposed into the storage location while the second object remains disposed on the shuttle. The method further includes disposing the first object into the storage location while the second object remains on the shuttle. A corresponding apparatus is also provided.

Abstract: A virtual assistant server determines one or more use cases of one or more utterances received from one or more customer devices. The virtual assistant server executes one or more dialog flows corresponding to the one or more use cases of the one or more utterances, where the executing comprises providing one or more inputs to a fine-tuned large language model comprising: use case context, customer context, conversation context, business rules, and exit conditions. The virtual assistant server receives one or more outputs corresponding to the one or more inputs from the fine-tuned large language model, and determines one or more responses based on the one or more outputs. Subsequently, the virtual assistant server provides the one or more responses to the one or more customer devices.

Abstract: A method for authenticating a contact center user to a contact center agent includes a cloud system, to which the agent is securely authenticated, triggering a sending of an electronic message to a user device. The user device has one or more biometric authentication features, which it requires to access a private key, of a key pair, securely stored on the user device. The electronic message contains a validation link or a trigger for a validation prompt. A passkey system stores an agent identifier, a user identifier, an interaction identifier, and a credential identifier in a database, in response receiving a positive authentication status from a business web server indicating that the business web server has authenticated the customer device by passkey. In response to the passkey system receiving the positive authentication status, the passkey system transmits an authentication status notification indicating the positive authentication status to the cloud system.

Abstract: Systems and methods for estimating in-store demand based on online data are disclosed. In some embodiments, a machine learning model is trained based on data of shared items that are being sold both online and in-store by a retailer. For a physical store of the retailer, inference items are determined from items being sold online but not in-store. An estimated demand is computed for each inference item to be offered for sale in the physical store in a future time period, based on the trained machine learning model and online data of the inference item. Based on the estimated demands for the inference items, recommended assortment data is generated for the physical store in the future time period, and is transmitted to a computing device associated with the physical store for assortment refresh.

Abstract: Compounds of the formula (I) wherein R1, R2, R3, L and Y have the designations described herein, or a pharmaceutically or veterinarily acceptable salt, hydrate or solvate thereof. Further, the invention relates to processes for the preparation of compounds of the formula (I) or a pharmaceutically or veterinarily acceptable salt, hydrate or solvate thereof. The invention also relates to compounds of the formula (I) or a pharmaceutically or veterinarily acceptable salt, hydrate or solvate thereof for use as a medicament. Further, the invention relates to compounds of the formula (1) or a pharmaceutically or veterinarily acceptable salt, hydrate or solvate thereof for use in the amelioration, prevention and/or treatment of a disease caused by or related to delipidation of a neural tissue. In particular, the disease is a neurodegenerative disease.

Abstract: Systems and methods include extracting item parameters from images of items positioned at a POS system. The item parameters associated with each item are indicative as to an identification of each item thereby enabling the identification of each item based on the item parameters. The item parameters are analyzed to determine whether the item parameters match item parameters stored in a database. The database stores different combinations of item parameters to thereby identify each item based on each different combination of item parameters associated with each item. Each item positioned at the POS system is identified when the item parameters for each item match item parameters as stored in the database and fail to identify each item when the item parameters fail to match item parameters. The item parameters associated with the items that fail to match are streamed to the database thereby enabling the identification of each failed item.

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: Systems and methods include extracting item parameters from images of items positioned at a POS system. The item parameters associated with each item are indicative as to an identification of each item thereby enabling the identification of each item based on the item parameters. The item parameters are analyzed to determine whether the item parameters match item parameters stored in a database. The database stores different combinations of item parameters to thereby identify each item based on each different combination of item parameters associated with each item. Each item positioned at the POS system is identified when the item parameters for each item match item parameters as stored in the database and fail to identify each item when the item parameters fail to match item parameters. The item parameters associated with the items that fail to match are streamed to the database thereby enabling the identification of each failed item.

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: Systems and methods include obtaining a profile for an application, wherein the profile includes one or more tenants, rules for use of the application by the one or more tenants, and users for the rules; monitoring a user of a tenant of the one or more tenants inline via a node in a cloud-based system; identifying an application of the one or more applications based on the monitoring and associated rules for the user; and enforcing the associated rules for the user for the application.

Abstract: An acoustic sensing system for detecting movement of an ultra-fast actuator in a hybrid circuit interrupter is disclosed. The system comprises a number of acoustic sensors structured to perform active or passive position sensing. For active sensing, the sensors emit sound waves toward a number of targeted portions of the actuator moving assembly and detect the positions of the targets based on acoustic signals reflected back to the sensors by the targets. For passive sensing, the sensors detect acoustic wavelets generated as a result of the moving assembly components moving during opening and closing operations. Acoustic signals can propagate through air or solids and thus the sensors can be mounted in a variety of locations within the circuit interrupter. Acoustic sensors are particularly well-suited for the circuit interrupter environment, as they are resilient to the environmental and external factors, such as dust, that can affect the performance of non-acoustic sensors.

Abstract: A vacuum circuit interrupter integrates a solenoid core within the vacuum chamber for opening the separable contacts under non-fault conditions, using less space than if the solenoid were disposed in series with a high speed actuator. The interrupter includes an iron core, a steel seat with a trough, and a solenoid coil seated in the trough. The steel seat has a central opening through which the movable conductor passes. The iron core is fixed to a portion of the movable conductor so as to laterally surround the movable conductor within the vacuum chamber. The steel seat is structured such that, when the separable contacts are closed and a user provides an activating current to the solenoid coil, the magnetic field generated around the coil magnetizes the steel seat. When the steel seat is magnetized, it attracts the iron core, causing the movable conductor to separate from the stationary conductor.

Abstract: The present application relates to a network, apparatus, and method for allocating clusters of computing nodes for programming jobs. A network includes a plurality of datacenters including computing resources configurable to instantiate nodes for executing programming jobs on a cluster. The computing resources at one of the datacenters are configured to: provision a live pool including a number of clusters, each cluster in the live pool including a plurality of nodes imaged with a configuration for executing the programming jobs in parallel on the cluster; receive a request from a user to execute a programming job; allocate a cluster from the live pool to the user for the programming job when the cluster is available; evict the cluster from the live pool; and provision a new cluster within the live pool to meet the number of clusters. The number of clusters may be optimized based on linear programming and machine-learning.

Abstract: Techniques and mechanisms to provide one or more substrates, and logic coupled to the one or more substrates. In an embodiment, the logic is to generate a pseudo-random sequence of bits, and to permute one or more bits of binary unscrambled data. In another embodiment, the logic is further to generate scrambled data based on an exclusive-or operation between the pseudo-random sequence of bits and the permuted data.