Abstract: An image decoder includes circuitry and a memory connected to the circuitry. In operation, the circuitry decodes a first bitstream to acquire a first image, decodes a second bitstream to acquire specification information specifying a particular region in the first image and a second image containing image data for the particular region, and generates a third image based on the first image, the specification information, and the second image.

Abstract: Systems and methods are provided for intelligently monitoring environments, classifying objects within such environments, detecting events within such environments, receiving and propagating input concerning image information from multiple users in a collaborative environment, identifying and responding to situational abnormalities or situations of interest based on such detections and/or user inputs.

Abstract: Live and historical power usage data of one or more loads of a facility may be provided to an AI/ML (Artificial Intelligence/Machine Learning) model. The AI/ML model predicts one or more predicted power usage peaks that are predicted to occur during a future time window based at least in part on the live and historical power usage data of the one or more loads of the facility. One or more loads of the facility are identified that are predicted to contribute to each of the one or more predicted power usage peaks. One or more of the loads of the facility that are predicted to contribute to a selected one of the one or more predicted power usage peaks are controlled to curtail power usage during the selected one of the one or more predicted power usage peaks.

Abstract: Methods and systems are provided for restoring a source database to a target environment. The methods and systems may include calculating an amount of data on each drive of the source database. The methods and systems may include calculating free space of each drive of the target environment. The methods and systems may include shrinking filegroups in the drives of the source database. The methods and systems may include fetching historical transactional queries run on tables in the filegroups. The methods and systems may include identifying interdependencies between tables using the queries. The methods and systems may include ingesting, by an AI engine, the calculations, the queries, the identified interdependent tables, historical information of table movement and a business use case. The methods and systems may include the AI engine determining how to restore the source database using the ingested information.

Abstract: Illustrative embodiments provide techniques for edge computing management. For example, a processing platform is configured to obtain a plain text input specifying a set of devices for an edge computing network to be deployed and construct a topology diagram corresponding to the set of devices configured based on a set of configuration sub-profiles. The processing platform is further configured to cause deployment of the edge computing network based on the topology diagram.

Abstract: A method comprises monitoring operation of one or more devices of an edge platform, collecting data corresponding to the operation of the one or more devices, and transmitting the data corresponding to the operation of the one or more devices over at least one communications network, via a first server, to a second server. The steps of the method are executed by a processing device operatively coupled to a memory. The processing device is a component of a network switch located in the edge platform.

Abstract: A method for identifying the presence of a logo in an image includes providing a neural network having an image encoder, a text encoder, and a score calculator. The method includes receiving the image and a textual description associated with the logo. The method further includes providing the image to the image encoder and the textual description to the text encode. The method includes executing the image encoder and the text encoder, wherein the image encoder generates one or more image embeddings from the image and the text encoder generates one or more text embeddings from the textual description. The method further includes executing the score calculator, wherein the score calculator generates a score from the one or more image embeddings and the one or more text embeddings. The method also includes determining the presence of the logo in the image based on the score.

Abstract: Techniques for programming an omnidirectional programmable client interface module (OPCIM) to receive a control signal and for configuring a set of outputs of a first output and a second output. Programming the OPCIM for routing the control signal from one input of the OPCIM to the first output and the second output of the OPCIM to output a first output signal and a second output signal to a first Line Card and a second Line Card coupled to each output, respectively. In response to a failure of at least either one of the Line Cards, automatically enabling reprogramming the OPCIM for routing the control signal to either Line Card that is still operational to prevent a service interruption in sending the control signal from one input to an output of either the first output or the second output to the Line Cards coupled to outputs of the OPCIM.

Abstract: A memory circuit includes an array of memory cells arranged with first word lines connected to a first sub-array storing less significant bits of data and second word lines connected to a second sub-array storing more significant bits of data. A first word line signal is applied to a selected one of the first word lines to read less significant bits from the first sub-array, and a mathematical operation is performed on the read less significant bits to produce modified less significant bits that are written back to the first sub-array. If the read less significant bits are saturated, a second word line signal is applied to a selected one of the second word lines to read more significant bits from the second sub-array, and a mathematical operation is performed on the read more significant bits to produce modified more significant bits that are written back to the second sub-array.

Abstract: A method comprises monitoring operation of one or more devices of an edge platform, collecting data corresponding to the operation of the one or more devices, and transmitting the data corresponding to the operation of the one or more devices over at least one communications network, via a first server, to a second server. The steps of the method are executed by a processing device operatively coupled to a memory. The processing device is a component of a network switch located in the edge platform.

Abstract: A method comprises receiving data corresponding to operation of one or more edge devices, and analyzing the data using one or more machine learning algorithms to determine whether the operation of the one or more edge devices is anomalous. In determining whether the operation of the one or more edge devices is anomalous, the one or more machine learning algorithms determine whether the operation of the one or more edge devices deviates from identified normal operational parameters of the one or more edge devices. At least one action to control access to the one or more edge devices is triggered in response to determining that the operation of the one or more edge devices is anomalous.

Abstract: Methods and systems are provided for restoring a source database to a target environment. The methods and systems may include calculating an amount of data on each drive of the source database. The methods and systems may include calculating free space of each drive of the target environment. The methods and systems may include shrinking filegroups in the drives of the source database. The methods and systems may include fetching historical transactional queries run on tables in the filegroups. The methods and systems may include identifying interdependencies between tables using the queries. The methods and systems may include ingesting, by an AI engine, the calculations, the queries, the identified interdependent tables, historical information of table movement and a business use case. The methods and systems may include the AI engine determining how to restore the source database using the ingested information.

Abstract: A technique monitors input/output (I/O) and storage ownership takeover activity patterns to detect degraded performance of a highly available and fault tolerant application executing in a multi-site environment. Multiple instances of the application execute in different containers or pods running on virtual machines (VMs) of a compute layer within a containerized (e.g., Kubernetes) clustering configuration that extends across clusters of the sites. A storage layer of the clusters provides shared storage to the pods running on the VMs across the multiple sites. One of the sites is configured as an active storage site configured to receive and service I/O requests from the compute layer. A single instance of the application is active at a time and configured as a “compute owner” of the shared storage to issue the I/O requests to the shared storage.

Abstract: The current document is directed to an IaC cloud-infrastructure-management service or system that automatically generates schema for cloud-infrastructure-specification-and-configuration files used by integrated development environments (“IDEs”), associated with the IaC cloud-infrastructure-management service or system, for autocompletion and validation. The IaC cloud-infrastructure management service or system accesses cloud-provider plug-ins to collect information and then encodes collected information regarding resource types, resource-type-associated functions and function arguments, cloud-infrastructure-specification-and-configuration data-file syntax, and other relevant information into cloud-infrastructure-specification-and-configuration data-file schemas. The schemas are input to integrated IDEs to control autocompletion and cloud-infrastructure-specification-and-configuration data-file validation.

Abstract: The present disclosure provides a method of predicting basal-like breast cancer recurrence in a patient comprising (a) determining the phosphorylation status of at least one protein in a biological sample obtained from the patient; (b) identifying the patient as having a high risk of basal-like breast cancer recurrence if the phosphorylation status of the at least one protein is over-phosphorylated or under-phosphorylated as compared to a control; and (c) optionally administering to the patient a therapeutically effective amount of a chemotherapeutic if the patient is classified as having a high risk of basal-like breast cancer recurrence. Also disclosed herein are methods of treating a patient wherein the patient has been identified as having a high risk of basal-like breast cancer recurrence and kits for use in predicting basal-like breast cancer recurrence and/or prognosing basal-like breast cancer.

Abstract: The current document is directed to an infrastructure-as-code (“IaC”) cloud-infrastructure-management service or system that automatically generates parameterized cloud-infrastructure templates that represent cloud-based infrastructure, including virtual networks, virtual machines, load balancers, and connection topologies. The IaC cloud-infrastructure manager automatically transforms cloud-infrastructure-specification-and-configuration files into a set of parameterized cloud-infrastructure-specification-and-configuration files and a parameters file that together comprise a parameterized cloud-infrastructure template.

Abstract: A gas-solid contacting system (100) with structured packing (108) is disclosed. The structured packing (108) comprises a gas header (102) with an inlet to receive a gas. A plurality of vertically aligned tubes (104) is fluidically connected to the gas header (102), wherein each vertically aligned tube (104) comprises openings (180) to distribute the gas at different heights in a radial direction. A structured packing element (106) is arranged on each vertically aligned tube (104), wherein the structured packing element (106) comprises one or more plates attached to the vertically aligned tube (104) to create a convoluted 3-dimensional flow path for smooth flow and radial distribution of a solid particulate stream.

Abstract: One or more objects associated with a source storage is determined to be archived to a remote storage. A corresponding minimum expiration time is stored in nodes of a tree data structure associated with an archive that represents the archived data associated with the source storage. At least a portion of the tree data structure associated with the archive is traversed to identify one or more nodes associated with one or more archived objects having a corresponding expiration time expiring before an expiration time associated with the archive.

Abstract: Digital representation techniques of intertwined vector objects are described. These techniques support a non-destructive representation of intertwined digital objects. Additionally, these techniques support editing of overlaps to change a visual ordering in an intuitive and efficient manner. Optimization operations are also implemented that remove redundancy, combine overlaps into a single representation, address visual artifacts at borders between the intertwined objected, and so forth.

Abstract: The present technology provides intercloud connectivity as a service by discovering components of the organization's deployment in various sites, irrespective of the cloud provider, such that two sites can merely be selected along with a few standard options, and the controller can handle the complexity of instantiating a tunnel between the cloud sites automatically. Further, the controller can monitor the health of one or more tunnels between the cloud sites to automatically scale bandwidth up or down.