Abstract: A system for managing composed information handling systems to manage access to data by applications hosted by the composed information handling systems includes a system control processor that instantiates a composed information handling system using a compute resource set that hosts applications and a hardware resource set that stores a portion of the data, associates, using authorization information, storage areas of the at least one hardware resource set with the applications to obtain storage area associations, obtains a data access request from the compute resource set for the portion of the data which is stored in a storage area of the storage areas, makes a determination, based on the storage area associations and an initiator of the data access request, that the initiator of the data access request is not authorized to access the portion of the data, and refuses to service the data access request.

Abstract: A method for managing composed information handling systems includes obtaining, by a system control processor, a composition request for a composed information handling system of the composed information handling systems, wherein the composition request comprises an operational instances requirement, and initially allocating only a minimum number of instances of a resource based on the operational instances requirement to the composed information handling system, wherein at least one of the minimum number of instances of the resource is provided by a first information handling system, wherein the first information handling system is operatively connected to the system control processor manager.

Abstract: A transit/egress node in a communication network uses a performance measured flow (PMF) identifier for statistics collection for a given PMF. The PMF identifier is carried in the piggy backed information without the use of separate SR label. The Piggy backed information carries the node information role of the node used by the transit egress node to collect statistics for a given PM segment. The node collects the statistics for multiple segments and multiple PM types using a metadata present in single received packet.

Abstract: The disclosed MTJ read circuits include a current steering element coupled to the read path. At a first node of the current steering element, a proportionally larger current is maintained to meet the requirements of a reliable voltage or current sensing. At a second node of the current steering element, a proportionally smaller current is maintained, which passes through the MTJ structure. The current at the first node is proportional to the current at the second node such that sensing the current at the first node infers the current at the second node, which is affected by the MTJ resistance value.

Abstract: A machine may be configured to facilitate partial reductions of an amount by generating and providing a graphical user interface that enables a user to specify one or more partial reductions of the amount, thus defining or otherwise controlling how the amount is to be reduced in stages by such partial reductions. For example, in situations where a total amount is to be reduced in stages by multiple partial reductions, the generated and provided graphical user interface may be operable to specify each stage of reduction by enabling the user to select a corresponding account for each stage of reduction. The corresponding account may be selected from among a set of multiple available accounts, each with a respectively corresponding available amount, any portion or all of which may be available to use in that stage of reducing the total amount.

Abstract: The present invention relates to methods for detecting at least one sensed RNA in a cell, tissue, and/or sample using at least one non-naturally occurring tracrRNA specifically hybridizing with said sensed RNA and at least one tracrRNA-dependent CRISPR nuclease enzyme binding to at least one target nucleic acid, as well as respective systems and diagnostic and therapeutic uses thereof.

Abstract: The subject technology provides receiving a neural network (NN) model to be executed on a target platform, the NN model including multiple layers that include operations and some of the operations being executable on multiple processors of the target platform. The subject technology further sorts the operations from the multiple layers in a particular order based at least in part on grouping the operations that are executable by a particular processor of the multiple processors. The subject technology determines, based at least in part on a cost of transferring the operations between the multiple processors, an assignment of one of the multiple processors for each of the sorted operations of each of the layers in a manner that minimizes a total cost of executing the operations. Further, for each layer of the NN model, the subject technology includes an annotation to indicate the processor assigned for each of the operations.

Abstract: Methods, systems, and computer program products for implementing automated communication exchange programs for attended robotic process automation are provided herein. A computer-implemented method includes invoking, during a user communication associated with an attended robotic process automation context, at least one automated communication exchange program in response to at least one user input; determining, using the at least one automated communication exchange program, information directed to the at least one user input; carrying out, using the at least one automated communication exchange program, at least a portion of the user communication subsequent to determining the information directed to the at least one user input; and performing one or more automated actions in connection with automatically carrying out the at least a portion of the user communication.

Abstract: Methods and systems for intelligently recommending selections for a selector control are disclosed. The method includes receiving a recommendation request from a selector control client, the recommendation request comprising a search string and a unique identifier of a user interacting with a selector control; identifying user identifiers of usernames matching the search string; retrieving machine learning features corresponding to the user identifiers of usernames matching the search string; applying a machine learning model to the retrieved machine learning features to assign weights to the retrieved machine learning features; computing recommendation scores for the user identifiers based on the assigned weights to the retrieved machine learning features; ranking the user identifiers based on the recommendation scores; and forwarding a ranked list of user identifiers to the selector control client for displaying in the selector control for selection by the user interacting with the selector control.

Abstract: A system for measuring a biological sample includes a sample collection vessel and a removable analysis cartridge that is removable from the sample collection vessel.

Abstract: A system generates a plurality of spatial points based on depth measurements of physical objects. The system determines, based on the plurality of spatial points, an occupancy score for each voxel within a plurality of voxels. The system identifies, based on a gaze of the user, a first set of occupied voxels that are in a field of view of the user and a second set of occupied voxels that are outside the field of view of the user. The system updates the occupancy scores of the first set of occupied voxels by temporally decaying one or more of the plurality of spatial points within the first set of occupied voxels. The system maintains the occupancy scores of the second set of occupied voxels. The system detects intrusions in a predefined subspace within a physical space based on the updated occupancy scores of the first set of occupied voxels.

Abstract: The subject technology provides for dynamic task allocation for neural network models. The subject technology determines an operation performed at a node of a neural network model. The subject technology assigns an annotation to indicate whether the operation is better performed on a CPU or a GPU based at least in part on hardware capabilities of a target platform. The subject technology determines whether the neural network model includes a second layer. The subject technology, in response to determining that the neural network model includes a second layer, for each node of the second layer of the neural network model, determines a second operation performed at the node. Further the subject technology assigns a second annotation to indicate whether the second operation is better performed on the CPU or the GPU based at least in part on the hardware capabilities of the target platform.

Abstract: Retrieval of material from vessel lumens can be improved by electrically enhancing attachment of the material to the thrombectomy system. The system can include a catheter having a distal portion configured to be positioned adjacent to a thrombus in a blood vessel, an electrode disposed at the distal portion of the catheter, and an interventional element configured to be delivered through a lumen of the catheter. The electrode and the interventional element are each configured to be electrically coupled to an extracorporeal power supply.

Abstract: An extrinsic-calibration system includes at least one target and a computer. Each target includes three flat surfaces that are mutually nonparallel and a corner at which the three surfaces intersect. The computer is programmed to estimate a first set of relative positions of the corner in a first coordinate frame from a first sensor, the first set of relative positions corresponding one-to-one to a set of absolute positions of the at least one target; estimate a second set of relative positions of the corner in a second coordinate frame from a second sensor, the second set of relative positions corresponding one-to-one to the set of absolute positions; and estimate a rigid transformation between the first coordinate frame and the second coordinate frame based on the first set of relative positions and the second set of relative positions.

Abstract: In accordance with one or more aspects of selecting between client-side and server-side market detection, a determination is made at a device as to which of a client-side detected market and a server-side detected market is to have priority for a service. An application of the device is configured in accordance with a client-side market configuration setting if the client-side detected market has priority, and is configured in accordance with a server-side market configuration setting if the server-side detected market has priority.

Abstract: A method for personalized playback of a video as performed by a video platform includes parsing a video into segments based on visual and audio content of the video. The platform creates multimodal fragments that represent underlying segments of the video, and then orders the multimodal fragments based on a preference of a target user. The platform thus enables nonlinear playback of the segmented video in accordance with the multimodal fragments.

Abstract: Methods, systems, and computer program products for implementing automated communication exchange programs for attended robotic process automation are provided herein. A computer-implemented method includes invoking, during a user communication associated with an attended robotic process automation context, at least one automated communication exchange program in response to at least one user input; determining, using the at least one automated communication exchange program, information directed to the at least one user input; carrying out, using the at least one automated communication exchange program, at least a portion of the user communication subsequent to determining the information directed to the at least one user input; and performing one or more automated actions in connection with automatically carrying out the at least a portion of the user communication.

Abstract: A rules engine is adapted for analyzing each match produced by a domain discovery system as matching a seed domain. Utilizing a natural language processing (NLP) library, the rules engine determines segments from the match, assigns a lexical category to each segment based on the context in how a seed domain string is used, and compares the lexical category of the segment that is closest to the seed domain string with a lexical category of the seed domain string. Based on the comparing, the rules engine determines whether the match is relevant to the seed domain and, if not, the match produced by the domain discovery system is identified as a false positive and automatically removed from a set of matches produced by the domain discovery system for the seed domain.

Abstract: The present disclosure provides systems, methods, and computer program products for providing efficient embedding table storage and lookup in machine-learning models.