Abstract: Apparatuses for substrate transfer are provided. A lift pin assembly can include a lift pin, a purge cylinder, and a lift pin guide. The lift pin guide is disposed adjacent the purge cylinder. The lift pin guide and the purge cylinder have a passage formed therethrough in which the lift pin is disposed. The purge cylinder includes one or more nozzles that direct the flow of gas radially inward into a portion of the passage disposed in the purge cylinder. The one or more nozzles are disposed radially outward from the lift pin. The purge cylinder reduces particle deposition on the substrate by preventing contact between the lift pin and the support assembly as the lift pin is in motion.

Abstract: A Data Processing Unit (DPU) control/management offload system includes a first networking device that is coupled to a DPU. The first networking device identifies the DPU, and generates a first virtual networking device in the first networking device for the DPU. The first networking device then offloads control protocol(s) and/or management operation(s) from the DPU using the first virtual networking device, which may include receiving a control communication that is directed to the DPU, determining that the control communication utilizes the control protocol(s) and, in response, redirecting the control communication to the first virtual networking device and processing the control communication using the first virtual networking device.

Abstract: Methods, apparatus, and processor-readable storage media for augmenting identifying metadata related to group communication session participants using artificial intelligence techniques are provided herein.

Abstract: Disclosed herein is a social media platform profile implementation that makes use of web3 objects. Social media profiles generate wishlists of digital objects. Those wishlists enable newsfeed population, social discovery and playing of platform games. The wishlists are verified by smart contract elements that limit players to the game and the conduct of those players in the wishlist game.

Abstract: In one aspect, an example methodology implementing the disclosed techniques includes, by a computing device, receiving a request to write a first data object to an object database. The method also includes, responsive to a determination that the first data object is a large data object, by the computing device, serializing the first data object, compressing the serialized first data object into a format that can be stored in the object database, and saving the compressed serialized first data object within the object database. The method may further include, by the computing device, extracting one or more fields which are queryable from the first data object and saving the one or more queryable fields with the compressed serialized first data object within the object database.

Abstract: Disclosed systems and techniques are directed to correct an out-of-plane deformation (OPD) of a substrate (e.g., wafer) by identifying, using optical inspection data, a profile of the OPD of the substrate and performing a polynomial decomposition of the profile to determine polynomial coefficients characterizing elemental deformation shapes of the substrate. The techniques further include identifying, based on the polynomial coefficients, characteristics of a stress-compensation layer (SCL) for the substrate and causing the SCL to be deposited on the substrate. The techniques further include performing statistical simulations to identify settings for a non-uniform stress-mitigation irradiation of the SCL, by sampling from one or more statistical distributions associated with previously performed stress-mitigation irradiations, and performing the non-uniform stress-mitigation irradiation of the SCL using the identified settings.

Abstract: Methods and apparatus to provide vortex cooled secondary flow for a supercritical carbon dioxide pump are disclosed herein. An example thermal management system includes a hot secondary flow extract section fluidly coupled to an outlet of a pump system, a cooled secondary flow section fluidly coupled to the hot secondary flow extract section, the hot secondary flow extract section including a vortex tube to generate cooled secondary air flow from hot secondary flow extract air of the hot secondary flow extract section, and a bearing inlet fluidly coupled to the cooled secondary flow section, the bearing inlet positioned to route the cooled secondary flow to bearings of the pump system.

Abstract: Techniques for guidance image generation for a mobile device are described and are implementable to generate a guidance image for display by a first device based on digital content displayed by a second device. For instance, a mobile device executes and controls a gaming application, and communicates digital content from the application to a display device. A screenshot of the digital content displayed by the remote display device is captured, and based on the screenshot the mobile device generates a guidance image. The guidance image depicts one or more touchpoints of the application, and is displayed by the mobile device. The mobile device is further operable to terminate display of the guidance image, such as based on receipt of an instance proximity-based input. The mobile device recalls the guidance image subsequent to termination of display, such as based on a user request to recall the guidance image.

Abstract: Methods, apparatus, and processor-readable storage media for automatically determining resource support parameters using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining input data comprising data pertaining to at least one resource and data pertaining to one or more users associated with the at least one resource; predicting one or more resource support parameters for the at least one resource and the one or more users associated therewith by processing at least a portion of the input data using one or more artificial intelligence techniques; determining one or more resource support-related data allocations, across one or more systems, for the at least one resource and the one or more users associated therewith based on the one or more predicted resource support parameters; and performing one or more automated actions based on the one or more resource support-related data allocations.

Abstract: A circuit apparatus includes a memory unit and a warp processing unit. The memory unit stores a warp object image. The warp processing unit performs warp processing on the warp object image and generates a display image displayed in a display area. The warp processing unit performs the warp processing on an image of a first view object of the warp object image based on a first warp parameter for vibration correction and distortion correction. Further, the warp processing unit performs the warp processing on an image of a second view object of the warp object image based on a second warp parameter for the distortion correction.

Abstract: A contact center server manages conversation data for a plurality of conversations between agent devices and customer devices and provides to the agent devices, one or more automated response recommendations to one or more customer messages by executing one or more dialog flows. The contact center server, using a classification model, determines for each of the one or more customer messages when there are one or more changes between the corresponding one or more automated response recommendations and corresponding one or more agent responses. Further, the contact center server associates one or more tags to the one or more agent responses when the one or more changes are determined. Subsequently, the contact center server identifies one or more patterns in the one or more tags associated to the one or more agent responses and provides one or more flow modification recommendations to the one or more dialog flows to one or more enterprise user devices based on the identified one or more patterns.

Abstract: A contact center server manages conversation data for a plurality of conversations between agent devices and customer devices and provides to the agent devices, one or more automated response recommendations to one or more customer messages by executing one or more dialog flows. The contact center server, using a classification model, determines for each of the one or more customer messages when there are one or more changes between the corresponding one or more automated response recommendations and corresponding one or more agent responses. Further, the contact center server associates one or more tags to the one or more agent responses when the one or more changes are determined. Subsequently, the contact center server identifies one or more patterns in the one or more tags associated to the one or more agent responses and provides one or more flow modification recommendations to the one or more dialog flows to one or more enterprise user devices based on the identified one or more patterns.

Abstract: A method of forming an isocyanate-functional polymer component includes forming a first mixture by mixing a recycled polyurethane article and a first isocyanate component having isocyanate-functional groups. The first mixture is heated to a temperature sufficient to transform the recycled polyurethane article from a solid form to a liquid form and react the liquid recycled polyurethane component with the first isocyanate component to form an isocyanate-functional polymer component having an isocyanate-functional group content greater than zero and less than isocyanate-functional group content of the first isocyanate component. The formed isocyanate-functional polymer component may then be used for forming a polyurethane article or polyurethane foam article that is the reaction product of the formed isocyanate-functional polymer component, a second isocyanate component and an isocyanate-reactive component having hydroxyl-functional groups.

Abstract: A method, computer system, and a computer program product for allocating unused computing resources of a plurality autonomous vehicles is provided. The present invention may include receiving at least one computation request from at least one user. The present invention may include identifying the unused computing resources of the plurality of autonomous vehicles. The present invention may include predicting an amount of computational activities performable by the unused computing resources of the plurality of autonomous vehicles. The present invention may include allocating the unused computing resources of the plurality of autonomous vehicles to perform the predicted amount of computational activities, wherein the received at least one computation request is allocated at least a portion of the unused computing resources. The present invention may include distributing a processing load to at least one of the plurality of autonomous vehicles.

Abstract: An integrated circuit (IC), including: a current mirror, including: a first field effect transistor (FET) including a first drain, a first gate, and a first source, wherein the first source is coupled to a first voltage rail; and a second FET including a second drain, a second gate, and a second source, wherein the second gate is coupled to the first gate of the first FET, and the second source is coupled to the first voltage rail; and a selective coupling circuit configured to selectively couple the first drain of the first FET to the first and second gates of the first and second FETs based on a voltage at the first drain of the first FET.

Abstract: A method comprises computing a hash value for at least one file of a plurality of files in connection with a file tiering operation of the plurality of files from a source storage location to a target storage location. The hash value is compared to one or more hash values corresponding to one or more other files of the plurality of files. Based at least in part on the comparing, a determination is made whether the hash value is the same as any of the one or more hash values. The at least one file is identified as a duplicate file in response to an affirmative determination. The target storage location comprises a cloud storage platform.

Abstract: In processing a transaction, a data storage system of a processing system stores and updates a progression created for the transaction that represents a timeline of events that occurred related to the transaction. When an event for a transaction occurs, the data storage system identifies data associated with the event. The data storage system creates an event signature for the event by hashing together the identified data. The data storage system identifies a stored progression of the transaction. The data storage system identifies a transaction signature included in the last record added to the progression. The data storage system creates a transaction signature for the event based on the transaction signature of the last record and the event signature created for the event. The data storage system adds a new record to the progression for the event and includes the transaction signature created for the event in the new record.

Abstract: Aspects of the disclosure relate to monitoring an automatic teller machine (ATM) network and determining anomalous fault behavior in the ATM network. A system may determine historical fault volumes in the ATM network and generate a time-series model of the fault volumes. The system may predict future fault volumes based on the generated time-series model. Based on the predicted future fault volumes and actual future fault volumes, the system may determine anomalous fault behavior and perform a remedial action associated with the ATM fault code determined from anomalous observed fault volumes.

Abstract: Aspects described herein may relate to methods, systems, and apparatuses that determine one or more categories associated with a dataset, or a portion thereof. The determination may be performed based on one or more tags associated with the dataset and/or a description associated with the dataset. Further, the determination may be performed by searching an ontology based on the one or more tags and/or the description. The determination may be performed by using a machine-learning model based on the one or more tags and/or the description. Once the one or more categories associated with the dataset are determined, the one or more categories may be used as a basis for modifying the dataset and/or validating the dataset.

Abstract: Systems and methods for cleaning a processing chamber include supplying a pre-activated cleaning gas through a collar surrounding a showerhead stem into the processing chamber to clean the processing chamber. In other embodiments, a cleaning gas is supplied to the collar, and RF power is supplied to the showerhead or to a pedestal to generate plasma in the processing chamber to clean the processing chamber. In still other embodiments, an inert gas is supplied to the collar, a pre-activated cleaning gas is supplied to the showerhead stem, and RF power is supplied to the showerhead or to the pedestal to generate plasma in the processing chamber to clean the processing chamber.