Abstract: A portable information handling system is assembled and disassembled by a keystone assembly that couples at an upper surface of the portable housing to overlap a keyboard assembly that covers processing components disposed in the portable housing. A motherboard couples to the portable housing under the keyboard assembly with openings aligned to insert over retaining nuts extending from the housing, the openings having a varied size so that the motherboard slides between released and engaged positions. A cooling fan couples to the motherboard adjacent to one side to retain the motherboard in the engaged position and is removed to allow the motherboard to slide to the released position.

Abstract: Plural cameras cooperate to define an overlap of fields of view that consolidate to provide an extended field of view communicated to an information handling system. The plural cameras stitch the non-overlapping portions into a consolidated visual image by reference to a landmark captured by both cameras in the overlapping portion, such as a reference marker placed in the extended field of view. The plural cameras coordinate through a wireless interface or with a daisy chain of communication cables to share the overlap boundary, resolution compatibility and an architecture for communicating the consolidated field of view with the information handling system.

Abstract: Techniques described herein relate to a method for performing computational offloads for composed information handling systems. The method includes obtaining, by a system control processor associated with a composed information handling system, a computational offload request associated with a dataset from an application executing on an at least one compute resource set; in response to obtaining the computational offload request: identifying a dataset location associated with the dataset in the composed information handling system; identifying resources of the composed information handling system capable of performing the computational offload request; selecting a resource of the resources to perform the computational offload; and initiating performance of the computational offload request on the selected resource.

Abstract: Cutting quantum circuits is disclosed. Solutions to a cutting problem of cutting a quantum circuit into quantum subcircuits are represented in a tree structure. Selected nodes are queried using a machine learning model to generate predicted transpilation metrics such as estimated transpilation error. If the prediction associated with a node fails such that the predicted transpilation error in a simulated quantum computing system is greater than an error threshold or constraint, the corresponding solutions represented by the node and the node's children are pruned from the tree structure.

Abstract: An information handling system includes a processor and a memory. The processor receives a set of validation items to be validated for each of a plurality of platforms of a portfolio of platforms. The processor further determines that a first set of validation items for a first platform includes a first validation item and that a second set of validation items for a second platform includes a second validation item. The processor compares the first validation item with the second validation item to determine if the first and second validation items are duplicate validation items. When the first and second validations are duplicate validation items, the processor maintains the first set of validation items to include the first validation item, and modifies the second set of validation items to exclude the second validation item.

Abstract: The compression and decompression of files can be selectively offloaded to a hardware controller. A hardware controller, such as the controller of an SSD or other drive, can include a compression engine that is configured to implement compression techniques. A filter driver in the I/O pathway on a computing device may be configured to intercept an application's attempt to write a file to or read a file from the SSD or other drive and to selectively offload compression or decompression of the file to a compression engine on the SSD or other drive.

Abstract: Systems and methods are provided for managing capabilities of workspaces operating on an Information Handling System (IHS). A request is received from a user of the IHS for access to a protected resource. A security context and a productivity context are determined for operation of a primary workspace on the IHS. Two or more applications are identified for operation within the primary workspace, where the applications provide access to the protected resource, and where the applications include overlapping capabilities. Based on the security context and the productivity context for the primary workspace deployment, two or more of the applications with overlapping capabilities are selected for operation within the primary workspace.

Abstract: A system can maintain respective extended attributes for respective files in a file system, wherein the respective extended attributes comprise respective first-in-first-out (FIFO) queues of user identities that have been determined to have modified the respective files. The system can receive an indication to perform a delete operation on a first portion of the file system, wherein the indication is indicative of a first user identity for which files are to be preserved. The system can, in response to receiving the indication, evaluate the respective files, comprising in response to determining that the first user identity is omitted from a FIFO queue of the respective FIFO queues, delete a file of the respective files that corresponds to the FIFO queue; and in response to determining that the first user identity is identified in the FIFO queue, refrain from deleting the file.

Abstract: A system, method, and computer-readable medium for performing a data center monitoring and management operation. The data center monitoring and management operation includes: generating a request for a client identifier or an access token for access to a target application programming interface (API); obtaining an access policy associated with the target API; determining a least privileged API access permission based upon the access policy associated with the target API; and, using the client identifier or access token to access the target API when the least privileged API access permission allows access to the target API.

Abstract: A disclosed method includes loading a driver stack for an industrial automation control (IAC) communication protocol into a management controller of a server, connecting the management controller to an IAC network interconnect, and communicating with the driver stack to perform operations for integrating the management controller into the IAC network as a remotely manageable resource of the IAC network. The integrating may include discovering the management controller, obtaining configuration information from the management controller, indicative of a configurable management controller resource, and configuring a setting of the resource. The configurable management controller resource may be a network interface card (NIC) and the configurable setting may be an Internet protocol (IP) address of the NIC. In at least some embodiments, the driver stack is a PROFINET stack and performing the operations includes Discovery and Basic Configuration Protocol (DCP) requests and responses.

Abstract: An autonomous compute storage device system includes a computing device and a storage device that is coupled to the computing device. The storage device identifies a storage operation for a storage subsystem that is included in the storage device and, in response, performs the storage operation and stores data in a memory subsystem that is accessible to the storage device as part of the performance of the storage operation. If the storage device determines that an autonomous compute signature matches the data that was stored in the memory subsystem, it executes an autonomous compute application to perform compute operations that are associated with the data that was stored in the memory subsystem and generate at least one compute operation result.

Abstract: A backup system stores recipes during backup file creation when virtual synthetic backups are used, where a recipe comprises a specific sequence of steps used to generate the backup file. Replication logic of the backup system replays the recipe to generate the same backup file on the backup target so that an old backup combined with new backup data comprises the recipe. Embodiments of a server-side group fingerprint system include a process to auto-generate recipes for server resident files by formulating a file as a series of L1 fingerprints which are in turn a set of L0s and GFPs where some of the L1s are shared with other files. The recipe can be used to convert the representation of the file from a native fingerprint based representation into a virtual synthetic format.

Abstract: A method comprises collecting data corresponding to a plurality of components in a system, wherein the data comprises information about at least one of respective protocols and respective interfaces associated with respective ones of the plurality of components. The data is analyzed to determine at least one of the respective protocols and the respective interfaces associated with the respective ones of the plurality of components. In the method, operations of one or more components of the plurality of components are tested based at least in part on the determination of the at least one of the respective protocols and the respective interfaces. The method further includes outputting respective statuses of the one or more components, wherein the respective statuses are derived at least in part from the testing.

Abstract: A system, method, and computer-readable medium for performing a data center management and monitoring operation. The data center management and monitoring operation includes: receiving data center data from a plurality of data center assets within a data center, the data center data comprising data center telemetry data; compressing the data center telemetry data to provide compressed data center data; and, performing a data center analytics reconstruction operation, the data center analytics reconstruction operation reconstructing the compressed data center data to provide decompressed data center telemetry data, the data center analytics reconstruction operation using a gated recurrent unit (GRU) network generator.

Abstract: A system, method, and computer-readable medium for performing a data center monitoring and management operation. The data center monitoring and management operation includes: receiving data center asset workload data; capturing a set of the data center asset workload data at predefined time intervals; monitoring data center workload performance using the set of the data center asset workload data; and, predicting an anomaly associated with data center workload performance based upon the monitoring.

Abstract: Heterogeneous sets of cloud applications and storage can be bridged. Cloud services can be configured to include a Web Application Open Platform Interface (WOPI) abstractor, multiple WOPI servers corresponding to respective multiple WOPI clients of cloud applications that may be used to access files, and a cloud storage abstractor that functions as an intermediary between the multiple WOPI servers and multiple cloud storages in which the files may be stored. The cloud services allow a user to access a single webpage or other interface to obtain access to his or her files stored in the multiple cloud storages via any of the multiple cloud applications.

Abstract: One or more aspects of the present disclosure relate to relate to analyzing and mitigation storage array latency. In embodiments, an input/output (IO) workload is received by a storage array. Additionally, a latency corresponding to processing one or more IO requests of the IO workload is determined. For example, a factor corresponding to a significant portion of the latency is identified. Further, a remediation action is performed based on the factor identified.

Abstract: Techniques are provided for machine learning-based prediction of message responses using a corpus of response templates. One method comprises obtaining a user message sent by a user; applying the user message to a machine learning model that predicts a response template, from a corpus of response templates, that is responsive to the user message, wherein the machine learning model is trained using training data comprising historical user messages sent by multiple users and agent messages sent by customer service agents, wherein the agent messages: (i) have a similarity score with respect to at least one of the response templates that satisfies one or more similarity criteria, and (ii) are sent in response to a corresponding historical user message; and automatically generating a response to the user message using the predicted response template.

Abstract: A low-latency network edge spectrum-as-a-service controller is described herein. A method as described herein can include acquiring, by a system comprising a processor from a spectrum access system, first access rights to a first spectrum band; determining, by the system, availability of a second spectrum band, wholly contained within the first spectrum band, in response to a request, received from network equipment of a radio access network, for second access rights to the second spectrum band; and, in response to the second spectrum band being determined to be available, granting, by the system, the second access rights to the second spectrum band to the network equipment.

Abstract: A self-healing Hard Disk Drive (HDD) system includes a chassis housing an HDD device self-healing subsystem coupled to an HDD data storage system that includes a plurality of HDD data storage resources. The HDD device self-healing subsystem prevents data from being stored on a first HDD data storage resource that is included in the plurality of HDD data storage resources included in the HDD data storage system. When the HDD device self-healing subsystem determines that data storage operations using a second HDD data storage resource that is included in the plurality of HDD data storage resources will be subsequently unavailable, it remaps logical addresses associated with the second HDD data storage resource to the first HDD data storage resource, and provides the data that was stored using the second HDD data storage resource on the first HDD data storage resource.