Abstract: Distributed execution of transactions may be performed across shards of a scalable database table. Instructions to perform as part of a transaction with respect to one or more database tables may be received. The instructions may be evaluated with respect to metadata obtained for the database tables to determine an assignment distribution of computing resources of the database system to data that can satisfy the access request. The commit protocol for the transaction may be determined according to the assignment distribution of the computing resources. After a request to commit the transaction is received, the transaction may be committed according to the determined commit protocol.

Abstract: A system and method are disclosed for validating an appeasement request. The method includes determining an appeasement request pattern for a customer, determining an appeasement application pattern for a customer service representatives assigned to the customer, mining data associated with the appeasement request, mining other data associated with the customer or the customer service representatives, and validating an appeasement request based on the mined data and the mined other data. The method further includes determining that an association between the customer service representatives and a group of customers indicates one or more fraudulent appeasement requests, where the appeasement application pattern is based on a history of appeasements offered to one or more customers and where validating the appeasement request further comprises limiting an appeasement offer associated with the appeasement request.

Abstract: The present invention relates to a process for the preparation of finerenone, a compound of formula I, and intermediates thereof. In particular, the present invention relates to a novel diastereomeric salt of an intermediate of finerenone, a compound of Formula IVa, a process for the preparation thereof, and use thereof in the preparation of finerenone.

Abstract: Systems and techniques are described herein for training and using multitask machine learning models. For example, a computing device can obtain training data for a first task in a layer in a neural network; perform, based on a determination from a first gating mechanism, the shared function on shared features of the training data using at least one shared channel to generate a shared feature map; perform, based on the determination from the first gating mechanism, the first task-specific function on first task-specific features of the training data using at least one first task-specific channel to generate a first task-specific feature map; generate an output for the first task-specific branch based on performing the shared function on the shared features and performing the first task-specific function on the first task-specific features; and update at least one parameter of the first gating mechanism based on the output.

Abstract: A system for processing relational database data using a generative artificial intelligence (AI) language models is provided. The system receives relational database data and generates, based on the relational database data, schema data. The system also receives a user query input. The system generates and provides a first prompt to a generative AI language model, based on the user query input and the schema data. The system responsively receives, from the generative AI language model, an indication of a first subset of the database data identified as relevant to the query. The system generates and provides a second prompt to the generative AI language model, based on the user query input and the identified first subset. The system responsively receives, from the generative AI language model, an output comprising insight data generated based on the user query input and the identified first subset of the database data.

Abstract: Example embodiments may provide methods for determining a quality of a film in spin coating process. The methods may include capturing images of portions of the film using an imaging device while coating the film on a substrate using a spinner. The imaging device may include SPCs and lens and/or SLMs. The methods may also include determining whether a characteristic of the film matches to a standard based on the images of the portions of the film. The method may further include performing detecting that the quality of the film is optimal in response to determining that the characteristic of the film matches to the standard or detecting that the quality of the film is not optimal in response to determining that the characteristic of the film does not match to the standard.

Abstract: A system for interaction pattern recognition receives an input primary interaction and accesses clusters indicating interaction group patterns. Each cluster includes a respective primary interaction and secondary interactions linked to that primary interaction. Each cluster is identified by a respective non-fungible token.

Abstract: In one embodiment, an apparatus includes a host controller to implement one or more layers of a Universal Serial Bus (USB)-based protocol to provide an interconnect for a plurality of devices. The host controller is to monitor control plane messages on the interconnect, detect, in the control plane messages, a power state change command for a device coupled to the interconnect, wherein the devices utilizes a tunneled protocol on the interconnect, and modify power distribution for one or more other devices of the interconnect based on detecting the power state change command.

Abstract: Methods and systems for container management include scanning layers of a first container image of a set of container images to generate scan metadata for the layers. Relationship information is generated that identifies relationships between a first set of layers of the first container image and layers of additional container images of the plurality of container images. The additional container images are scanned, omitting any layers in the additional container images that match a layer of the first set of layers based on the relationship information.

Abstract: Examples described herein relate to a system that after decoding of video by the first device, provides a memory address of decoded video in the memory device to a second driver for a second device and perform a second device driver that causes the second device to access the decoded video directly from a translation of the memory address of the memory device, wherein the second device is to access the decoded video with memory properties of the decoded video and decompression information of the decoded video. In some examples, the first device comprises one or more of: a graphics processing unit integrated with a central processing unit (CPU), a discrete graphics processing unit, or a video decoder accelerator. In some examples, the second device comprises one or more of: a graphics processing unit integrated with a central processing unit (CPU) or a discrete graphics processing unit. In some examples, the memory properties of the decoded video comprise swizzle information.

Abstract: A plurality of tickets can be received. A pattern pertaining to an issue with an application can be determined by at least one artificial neural network. The pattern can be indicated among at least a portion of the plurality of tickets. The portion of the plurality of tickets can be grouped into a group comprising a primary ticket and at least one secondary ticket. Automation steps can be accessed from a database. The automation steps can be implemented to resolve the issue for the primary ticket. Responsive to the resolving the issue by implementing the automation steps from the database for the primary ticket, the secondary ticket can be closed.

Abstract: A method by an electronic device is provided. The method includes identifying, by the electronic device, brightness information corresponding to each of a plurality of Internet of Things (IoT) light devices, categorizing, by the electronic device, the plurality of IoT light devices into at least one category based on the brightness information of each IoT light device of the plurality of IoT light devices and location information of each IoT light device of the plurality of IoT light devices, receiving, by the electronic device, a user input selecting a lighting effect from a plurality of lighting effects and an effect level, and updating, by the electronic device, information on the at least one category of the plurality of IoT light devices based on the lighting effect, the effect level and the brightness information.

Abstract: A process for optimal query scheduling includes receiving in an information retrieval data processing system, a request to accelerate query execution of a specified query to a time prior to a scheduled time. A specific field corresponding to data in a database is then identified in the query and a freshness of data requirement for the specific field retrieved along with a frequency of change the data corresponding to the specific field. Then, if execution of the specific query at the time prior to the scheduled time instead of the scheduled time is determined not to violate the freshness of data requirement based upon the frequency of change of the data corresponding of the specific field, the specific query is scheduled for execution at the time prior to the scheduled time. But otherwise, the scheduled time may be maintained for executing the specific query.

Abstract: A plurality of tickets can be received. A pattern pertaining to an issue with an application can be determined by at least one artificial neural network. The pattern can be indicated among at least a portion of the plurality of tickets. The portion of the plurality of tickets can be grouped into a group comprising a primary ticket and at least one secondary ticket. Automation steps can be accessed from a database. The automation steps can be implemented to resolve the issue for the primary ticket. Responsive to the resolving the issue by implementing the automation steps from the database for the primary ticket, the secondary ticket can be closed.

Abstract: A device and method are provided for providing a function related to a camera in an electronic device. A method includes acquiring, via a first camera of the electronic device, a plurality of first images; acquiring, via a second camera of the electronic device, one or more second images; generating a plurality of image contents based on at least one of the plurality of first images or the one or more second images; and outputting the plurality of image contents at respective regions of a display of the electronic device.

Abstract: The present disclosure relates to a method for estimating heights of defects in a wafer. The method comprises creating an un-calibrated 3D model of a defect in a wafer, determining one or more attributes associated with the un-calibrated 3D model, transforming the un-calibrated 3D model to a calibrated 3D model, and estimating a height of the defect using the calibrated 3D model. Creating an un-calibrated 3D model corresponds to a defect present in a wafer based on a plurality of Scanning Electron Microscope (SEM) images of the defect. Transforming the un-calibrated 3D model to a calibrated 3D model uses a scaling factor corresponding to the determined one or more attributes associated with the un-calibrated 3D model. A height of the defect is estimated based on the calibrated 3D model of the defect.

Abstract: A method of performing interested event based image capture by an electronic device includes receiving a plurality of image frames, storing the plurality of image frames in a high-resolution buffer, converting the plurality of image frames into a plurality of low-resolution image frames, detecting an interested event in at least one low-resolution image frame of the plurality of low-resolution image frames, determining a visual score of the interested event in the at least one detected low-resolution image frame, and obtaining at least one image frame corresponding to the at least one detected low-resolution image frame from the high-resolution buffer, based on the visual score.

Abstract: A system includes a location controller for a building, a container arranged to store items, and a device attached to the container. The device includes a first radio and a light emitting diode. The first radio emits a signal. The location controller determines a first location of the device in the building based on the signal and communicates, based on the first location of the device in the building, a first instruction to the device indicating that the device should be moved to a second location. The light emitting diode emits light of a first color in response to the first instruction.

Abstract: Embodiments provide cloud based access privilege governance. Embodiments retrieve identity access data and encode the identity access data as a plurality of binary vectors. Embodiments determine a distinct identity access count as a cluster count, normalize the cluster count, and perform peer group analysis using the normalized cluster count.

Abstract: One example includes a method for measuring a quiescent current in a switching voltage regulator. The method includes generating a mathematical model of a circuit design associated with the switching voltage regulator. The mathematical model includes measurable parameters to describe a switching current of a power switch of the switching voltage regulator. The method also includes fabricating a circuit comprising the switching voltage regulator based on the circuit design. The fabricated circuit includes the power switch and conductive I/O. The method also includes coupling the conductive I/O of the fabricated circuit to a circuit test fixture and providing electrical signals to the conductive I/O via the circuit test fixture. The method also includes measuring the measurable parameters in response to the electrical signals and applying the measurable parameters to the mathematical model to calculate the switching current.