Abstract: A server may include a plurality of services, where in response to receiving a first API call, a service generates a transit container in memory that is associated with a transit group ID. In response to receiving a second API call with the transit group ID, the service moves the resource to the transit container. When the resource is deemed to be properly received, the state of the transit container is set to a resource held state. The first service is configured to access the resource of the transit container in the resource held state in response to one or more additional API calls that comprise the transit group ID. The first service releases the transit container for garbage collection when a condition of the transit container is satisfied.

Abstract: In accordance with the described techniques, a code conversion system receives a digital image of a webpage. Using an object detection model, the code conversion system detects a webpage block in the digital image, as well as a block class assigned to the webpage block. In addition, the code conversion system extracts webpage content of the webpage block from source code of the webpage. Using a generative artificial intelligence (AI) model, the code conversion system generates custom code formatted in accordance with a webpage publication system based on the webpage block, the block class, and the webpage content.

Abstract: To schedule threads for embedding layers of a recommendation model, a processor is configured to define queues each associated with a corresponding range of heuristic values. Further, the processor defines these queues such that each queue provides threads to certain processor cores on one or more dies. When scheduling threads for the embedding layer, the processor first determines a heuristic value of an embedding table associated with the threads. The processor then loads the threads into the queue associated with a range of heuristic values that includes the heuristic value of the embedding table. The processor then provides the threads from the queue to one or more processor cores associated with the queue.

Abstract: One or more embodiments relate to a sensor device used to proactively detect an electrical line anomaly, an anomaly detection system, and a method for detecting an anomaly in one or more electrical lines. The device includes an image capture device, and a processing unit communicating with at least the image capture device, where the processing unit is adapted to send out an alarm and future potential image/video.

Abstract: Code generation techniques from a digital image are described. In one or more examples, layout data is extracted from a digital image. The layout data describing a layout of elements included in the digital image. Markup language code is generated over one or more iterations of candidate markup code using a machine-learning model based on the digital image and the layout data and determining whether a similarity threshold is reached by comparing a candidate digital image generated using the candidate markup code with the digital image. The markup language code is output responsive to determining the similarity threshold is reached.

Abstract: This disclosure describes one or more implementations of systems, non-transitory computer-readable media, and methods that utilize a local implicit image function neural network to perform image segmentation with a continuous class label probability distribution. For example, the disclosed systems utilize a local-implicit-image-function (LIIF) network to learn a mapping from an image to its semantic label space. In some instances, the disclosed systems utilize an image encoder to generate an image vector representation from an image. Subsequently, in one or more implementations, the disclosed systems utilize the image vector representation with a LIIF network decoder that generates a continuous probability distribution in a label space for the image to create a semantic segmentation mask for the image.

Abstract: A hydroprocessing catalyst is provided that is made with an organic acid, such as tartaric acid, that provides for an improved capacity for removal of silicon from hydrocarbon feeds. The silicon acts as a poison to the catalyst when not removed. The catalyst has more available hydroxyl sites than catalysts made using other impregnation liquids besides tartaric acid.

Abstract: A disclosed method may include initializing a deep learning recommendation model (DLRM) comprising a plurality of embedding tables, each embedding table comprising a plurality of embeddings. The method may also include receiving input data associated with accessing embeddings from the plurality of embedding tables and applying a parallelization strategy to process the plurality of embedding tables, the parallelization strategy configured to improve performance by distributing computational workloads and optimizing memory access. The method may also include processing the embeddings based on the input data in accordance with the parallelization strategy, the processing comprising aggregating embeddings accessed from the plurality of embedding tables. The method may also include generating, for further processing, output data based on the processed embeddings. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A hardware-assisted Distributed Memory System may include software configurable shared memory regions in the local memory of each of multiple processor cores. Accesses to these shared memory regions may be made through a network of on-chip atomic transaction engine (ATE) instances, one per core, over a private interconnect matrix that connects them together. For example, each ATE instance may issue Remote Procedure Calls (RPCs), with or without responses, to an ATE instance associated with a remote processor core in order to perform operations that target memory locations controlled by the remote processor core. Each ATE instance may process RPCs (atomically) that are received from other ATE instances or that are generated locally. For some operation types, an ATE instance may execute the operations identified in the RPCs itself using dedicated hardware. For other operation types, the ATE instance may interrupt its local processor core to perform the operations.

Abstract: A hardware-assisted Distributed Memory System may include software configurable shared memory regions in the local memory of each of multiple processor cores. Accesses to these shared memory regions may be made through a network of on-chip atomic transaction engine (ATE) instances, one per core, over a private interconnect matrix that connects them together. For example, each ATE instance may issue Remote Procedure Calls (RPCs), with or without responses, to an ATE instance associated with a remote processor core in order to perform operations that target memory locations controlled by the remote processor core. Each ATE instance may process RPCs (atomically) that are received from other ATE instances or that are generated locally. For some operation types, an ATE instance may execute the operations identified in the RPCs itself using dedicated hardware. For other operation types, the ATE instance may interrupt its local processor core to perform the operations.

Abstract: Various disclosed embodiments are directed to learning-free video object segmentation (VOS) of one or more video frames. In various instances, such VOS does not rely on human supervision or labeling and can be generalized or applied to any video “in the wild.” This is because training and fine-tuning are not required for VOS. Particular embodiments perform VOS based on feature similarity of different sections of a video frame and/or estimated motion similarity of different sections of the video frame, such as via a graph cut on a graph.

Abstract: A mechanism for error containment in a data processing system includes receiving a transaction request at a gateway between a host and a device, allocating an entry for the request in a local request tracker of the gateway and sending a link request, to a port of the gateway. In response to an isolation trigger, the port is moved into isolation by completing in-process requests with entries in the tracker and locking the entries. On receiving a response to an in-process request while the port is in isolation, the response is dropped, the associated entry is unlocked, and allocation of the entry is enabled. A completion response is sent to the requester without dispatching a new link request to the port. When requests are completed, the system is quiesced, locked entries are unlocked, and the port is moved out of isolation.

Abstract: Techniques of the present disclosure provide dynamic adaptive overcurrent protection. An example device includes at least one processor configured to determine, based on one or more steady state system parameters that define a state of a power distribution system, a local voltage value at a protective device, and a local current value at the protective device, an estimated minimum fault current for the protective device. The at least one processor may be further configured to determine, based on the estimated minimum fault current and a rated load current for the protective device, an adaptive pickup setting for the protective device. The at least one processor may also be further configured to cause the protective device to trip a circuit breaker in response to determining that an updated value of the current at the protective device exceeds the adaptive pickup setting.

Abstract: Systems and methods for image processing are described. One aspect of the systems and methods includes receiving a plurality of images comprising a first image depicting a first body part and a second image depicting a second body part and encoding, using a texture encoder, the first image and the second image to obtain a first texture embedding and a second texture embedding, respectively. Then, a composite image is generated using a generative decoder, the composite image depicting the first body part and the second body part based on the first texture embedding and the second texture embedding.

Abstract: In implementations of systems for human reposing based on multiple input views, a computing device implements a reposing system to receive input data describing: input digital images; pluralities of keypoints corresponding to the input digital images, the pluralities of keypoints representing poses of a person depicted in the input digital images; and a plurality of keypoints representing a target pose. The reposing system generates selection masks corresponding to the input digital images by processing the input data using a machine learning model. The selection masks represent likelihoods of spatial correspondence between pixels of an output digital image and portions of the input digital images. The reposing system generates the output digital image depicting the person in the target pose for display in a user interface based on the selection masks and the input data.

Abstract: In implementations of systems for generating images for human reposing, a computing device implements a reposing system to receive input data describing an input digital image depicting a person in a first pose, a first plurality of keypoints representing the first pose, and a second plurality of keypoints representing a second pose. The reposing system generates a mapping by processing the input data using a first machine learning model. The mapping indicates a plurality of first portions of the person in the second pose that are visible in the input digital image and a plurality of second portions of the person in the second pose that are invisible in the input digital image. The reposing system generates an output digital image depicting the person in the second pose by processing the mapping, the first plurality of keypoints, and the second plurality of keypoints using a second machine learning model.

Abstract: Technologies for implementing customized behaviors for content items are provided. An example method can include receiving, from a user account registered with a content management system, a request to access a content item managed by the content management system for the user account, the content item having one or more behaviors configured for an attribute associated with the content item and/or the content item associated with the attribute; obtaining, from a representation of a remote state of content items associated with the user account, metadata defining the attribute associated with the content item; based on the metadata, determining the one or more behaviors configured for the attribute and/or the content item associated with the attribute; and applying the one or more behaviors to the content item.

Abstract: This disclosure describes one or more implementations of systems, non-transitory computer-readable media, and methods that utilize a local implicit image function neural network to perform image segmentation with a continuous class label probability distribution. For example, the disclosed systems utilize a local-implicit-image-function (LIIF) network to learn a mapping from an image to its semantic label space. In some instances, the disclosed systems utilize an image encoder to generate an image vector representation from an image. Subsequently, in one or more implementations, the disclosed systems utilize the image vector representation with a LIIF network decoder that generates a continuous probability distribution in a label space for the image to create a semantic segmentation mask for the image.

Abstract: Technologies for implementing customized behaviors for content items are provided. An example method can include receiving, from a user account registered with a content management system, a request to access a content item managed by the content management system for the user account, the content item having one or more behaviors configured for an attribute associated with the content item and/or the content item associated with the attribute; obtaining, from a representation of a remote state of content items associated with the user account, metadata defining the attribute associated with the content item; based on the metadata, determining the one or more behaviors configured for the attribute and/or the content item associated with the attribute; and applying the one or more behaviors to the content item.

Abstract: A package includes a patch and a packaging film. The patch comprises a support and a sealing layer comprising chlorite ions. The support is permeable to chlorine dioxide. The packaging film has an inner surface defining at least a portion of an interior space of the package for housing an article. The packaging film is substantially impermeable to chlorine dioxide and is transparent to ultraviolet light. The patch is affixed to the inner surface of the packaging film by the sealing layer. Chlorine dioxide may be generated by subjecting the package to ultraviolet (UV) light such that the UV light reaches the sealing layer of the patch to convert the chlorite ions to chlorine dioxide.