Abstract: Systems, apparatus, computer-readable medium, and associated methods to monitor, analyze, and adjust at least one of a build and/or an additive manufacturing machine configuration are disclosed. An example apparatus includes memory circuitry, instructions, and processor circuitry to execute the instructions to implement at least a feature extractor, a variability analyzer, and an output generator. The feature extractor is to: i) group data for a plurality of builds associated with one or more additive manufacturing machines; and ii) extract features from the grouped data. The variability analyzer is to: i) process the grouped data with respect to the features to determine a measure of variability for each feature; and ii) compare the measure of variability for each feature to a respective allowable limit associated with the respective feature. The output generator is to provide actionable output to adjust at least a first additive manufacturing machine.

Abstract: A system for generating an expandable pool of virtual agents to provide solutions in a virtual environment comprises a call center server in communication with a metaverse server. The call center server generates the virtual agents with corresponding skills of each real-world agent using a machine learning model based on historical observation operations performed by each particular real-world agent and a historical rule set to address the service issue. The metaverse server identifies the virtual agents in the virtual environment. The call center server routes a service inquiry with a service issue from a user equipment of a user to the metaverse server. The metaverse server identifies a first virtual agent with a first skill and conducts a first interaction between the first virtual agent and a user avatar to generate the customized solution to address the service issue.

Abstract: An imaging device for image generation of a specimen is disclosed. Layers of images may be captured by an optical system and then compiled to create an integrated image. Each layer may include a different focal point. A consolidated image may then be created by combining one or more integrated images.

Abstract: The present invention relates to a crystalline form of isavuconazonium sulfate. The present invention also relates to a process for preparation of isavuconazonium sulfate and a pharmaceutical composition containing the crystalline isavuconazonium sulfate. The invention also relates to a method for the treatment of fungal infections such as invasive aspergillosis and mucormycosis comprising administering a therapeutically effective amount of crystalline isavuconazonium sulfate to a subject in need thereof. The invention also provides isavuconazonium sulfate having high purity.

Abstract: An endoscopic foam delivery catheter comprising a dissolution solution and methods of their use for treating pancreatic necrosis are disclosed.

Abstract: The present application discloses a method, system, and computer system for processing queries to sparsely populated datasets. The method includes (i) receiving a query from a client system, (ii) determining, based at least in part on the query, a plurality of partitions of a hypercube that are expected to comprise information used in generating a response for the query, (iii) communicating a set of requests to a data source storing the hypercube, the set of requests comprising one or more requests corresponding to the plurality of partitions of the hypercube, (iv) obtaining, from the data source, a set of results to the set of requests, the set of results comprising data stored in the plurality of partitions of the hypercube, (v) determining a plurality of virtual objects for the set of results, (vi) combining the plurality of virtual objects into a response to the query, and (vii) providing, to the client system, the response to the query.

Abstract: One or more aspects of the present disclosure relate to simulating an input/output (IO) workload. In embodiments, information corresponding to one or more characteristics of an input/output (IO) workload is received. In addition, metadata corresponding to the IO workload is generated using the information. Further, testing of a storage array can be enabled using the metadata.

Abstract: A wearable electronic device can include interface features to provide guidance for optimal placement of the wearable electronic device. The wearable electronic device and/or another electronic device can be operated to guide a user to position the wearable electronic device in a manner that will achieve proper alignment of components with respect to the user and maximize user comfort. For example, the wearable electronic device and/or another device can include sensors for detecting features of the user's face, forces distributed on the face when worn, and/or alignment with the face (e.g., eyes). The guidance can include instructions or other interface features to encourage adjustment of the wearable electronic device. While the head wearable electronic device can provide such guidance to the user wearing it, the feedback can also be provided to another person and/or via another device.

Abstract: The present invention relates to a simple, convenient, user-friendly, ready to administer pre-filled syringe injection device, for delivery of medication composition used for the prophylaxis and treatment of vitamin K deficiency bleeding in the neonates and other age groups.

Abstract: Techniques, described herein, include solutions for managing hybrid automatic repeat request (HARQ) processes and communications for non-terrestrial networks (NTNs) (e.g., a wireless communication network that includes a satellite network component). A user equipment (UE) may receive a request for capability information of the UE and in response, transmit a message indicating the capability information of the UE, wherein the capability information includes HARQ disablement information indicating whether the UE supports disabled HARQ feedback.

Abstract: In a cloud computing environment, a cross-tenant access security measure monitors conditional access policies for changes or additions that hamper or threaten an authorized access from an assistant tenant user to a focus tenant. Some cross-tenant access security tracks role assignments to detect rogue roles, or detect hampering role changes. In some cases, focus tenant events and assistant tenant events are correlated in an audit. In some cases, the authorized access is a zero standing time bound access. In some cases, the authorized access is constrained to an IP address range, or constrained to login from a managed device, or both. In some cases, assets are excluded from managed response remediation actions. In some, managed response is modulated by product-specific Role Based Access Control. In some, repeated logins are avoided, to permit faster managed responses.

Abstract: The present disclosure relates to field of Dual In-Line Memory Modules that discloses method and system for generating memory maps. The method comprises detecting, by computing system, at least one of DIMM and one or more Dynamic Random Access Memory (DRAM) chips associated with computing system. The one or more accelerators are configured in at least one of DIMM and one or more DRAM chips. Further, the method includes determining accelerator information for each of one or more accelerators via at least one of Serial Presence Detect (SPD) and Multi-Purpose Register (MPR) associated with at least one of DIMM and one or more DRAM chips. Method includes generating unique memory map for each of one or more accelerators based on accelerator information of corresponding one or more accelerators. As a result, performance of computing system may be improved as accelerator capabilities of one or more accelerators are effectively utilized.

Abstract: A memory subsystem and method for performing calibrations therein is disclosed. A memory subsystem includes a memory controller coupled to a memory by a plurality of signal paths. The memory controller is configured to perform an initial calibration to determine respective eye patterns corresponding to the ones of the plurality of signal paths. For a subsequent calibration, updated eye patterns are determined for a subset of the plurality of signal paths. Remaining ones of the plurality of signal paths (not included in the subset), are not active during the subsequent calibrations. Updated eye patterns for the remaining ones of the plurality of signal paths are determined based on information obtained during the initial calibration and information from signal paths in the subset designated proxies for the remaining ones of the plurality of signal paths.

Abstract: Methods, systems, and apparatuses for image segmentation are provided. For example, a computing device may obtain an image, and may apply a process to the image to generate input image feature data and input image segmentation data. Further, the computing device may obtain reference image feature data and reference image classification data for a plurality of reference images. The computing device may generate reference image segmentation data based on the reference image feature data, the reference image classification data, and the input image feature data. The computing device may further blend the input image segmentation data and the reference image segmentation data to generate blended image segmentation data. The computing device may store the blended image segmentation data within a data repository. In some examples, the computing device provides the blended image segmentation data for display.

Abstract: An approach for routing one or more packages and delivering the one or more packages to one or more autonomous vehicles is disclosed. The approach receives shipment request from the one or more vendors, receives package status (e.g., status that the one or more packages is ready to be routed, dimension and weight of the one or more packages) of the one or more packages from the one or more vendors, receives vehicle status (e.g., size and available storage space in the vehicles, location and transit time of the vehicles) from the one or more autonomous vehicles. The approach receives the status of the delivery units (e.g., available automated delivery unit, current path and time of completion). The approach determines an optimal routing path for the one or more packages based on the shipment request, package status and vehicle status and outputs the optimal routing path.

Abstract: Systems and methods are provided for vehicular computation management. The system includes, onboard a vehicle, electric control units (ECUs), a battery, a communication system, and a controller. The controller is configured to monitor energy consumption, operate the vehicle as a computational hub when the energy consumption is less than a threshold, including providing computational resources to an external node, determine whether the vehicle has excess energy and computational capacity when the energy consumption is equal to or greater than the threshold, including determining a usage of each of the ECUs and determining an energy consumption of tasks executing thereon, and operate the vehicle as a hybrid computational hub when the vehicle has excess energy and computational capacity, including providing excess computational capacity of the ECUs to the external node.

Abstract: Generating object morphisms during object search includes obtaining object-search request data, wherein the object-search request data includes object-search terms, obtaining resolved-request data representing the object-search terms, determining that a first analytical object partially consistent with the resolved-request data is available, wherein the first analytical object is consistent with a first portion of the resolved-request data, generating candidate object-morphism data with respect to the first analytical object in accordance with a second portion of the resolved-request data, outputting object-search response data including the candidate object-morphism data for presentation to a user, obtaining data indicating a selected object morphism from the candidate object-morphism data, generating a second analytical object in accordance with the first analytical object and the selected object morphism, wherein the second analytical object differs from the first analytical object, and outputting response

Abstract: A computer system includes a processor programmed to process a first web page to identify a hyperlink contained thereon. The hyperlink includes a link to a second web page. The processor performs natural language processing on the first web page to determine one or more context word tokens and on the second web page to determine a context of the second web page. The processor also applies a context relevant tag to the hyperlink to generate a tagged hyperlink. The processor maps at least one of the context word tokens to the context relevant tag applied to the hyperlink and generates a transaction score for the tagged hyperlink.

Abstract: The present disclosure relates to systems, methods, and computer-readable media for receiving usage data for a virtual device (or other virtual service), analyzing the usage data to determine a usage bucket characteristic of usage of the virtual device over a period of time, and determining a usage score for the virtual device. The systems described herein further involve causing a deployment of the virtual device to be upgraded, downgraded, or otherwise modified based on the usage bucket and associated usage score. The features and functionalities described herein can provide an efficient mechanism for administrating a tenant deployment as well as implementing a more efficient utilization of cloud computing resources for a variety of virtual services.

Abstract: Systems, computer program products, and methods are described herein for evaluating, validating, correcting, and loading data feeds based on artificial intelligence input. The present invention may be configured to receive a data feed from a source for loading to a target data structure, analyze, based on historical feed data, metadata of the data feed to determine a likelihood of the data feed failing to load, and determine whether the likelihood of the data feed failing to load satisfies a threshold. The present invention may be configured to load the data feed to the target data structure, determine, after loading the data feed to the target data structure, whether the data feed failed to load, and either correct errors in the data feed or add error-containing portions of the data feed to a failed data log.