Abstract: Aspects of the technology evaluate a client device query to identify an IP address-based estimated location of a mobile device. One or more candidate wireless stations are selected in accordance with the IP-based estimated location and a location-relevant response to the query is also generated in accordance with the IP-based location. This information is transmitted to the mobile device. The mobile device compares the received information about the candidate wireless stations against one or more actual wireless stations with which the mobile device is in communication. Log information is generated as a result of the comparison. The log information is anonymized and transmitted to the network without user ID or other client-identifiable information included in the log. The received log information is then used to validate the initial estimated location. Aggregation of log information from multiple devices may be used in the validation process.

Abstract: Embodiments have two approaches as follows: (1) Embedded PCB-based fabrication and (2) PCB assembly-based fabrication. An embedded printed circuit board (PCB) type approach involves the creation of a space of coolant direct interconnection, using immersion cooling to link on any type of power semiconductor device hot spots to convectively and evaporatively cool directly. This means fabricating PCB embedded channels, to utilize the microgap between die and PCB as the cooling channel. A printed circuit board (PCB) assembly embodiment includes a PCB having at least one heat generating component. A lid is mounted to the PCB, wherein the lid defines a cooling path therein extending in a coolant flow direction from an inlet end of the cooling path to an outlet end of the cooling path.

Abstract: A user-to-entity communication channel is established for providing increased information regarding entities to the general population. Ambassadors for a entity are identified and selected based on location history of devices for which location reporting is authorized. The ambassadors may provide information regarding the entity to the public through the communication channel. Communications between the users and ambassadors may be reported to the entity owner for analysis by the entity owner.

Abstract: The present invention provides a Cas9 platform to facilitate single-site nuclease gene editing precision within a human genome. For example, a Cas9 nuclease/DNA-targeting unit (Cas9-DTU) fusion protein precisely delivers a Cas9/sgRNA complex to a specific target site within the genome for subsequent sgRNA-dependent cleavage of an adjacent target sequence. Alternatively, attenuating Cas9 binding using mutations to the a protospacer adjacent motif (PAM) recognition domain makes Cas9 target site recognition dependent on the associated DTU, all while retaining Cas9's sgRNA-mediated DNA cleavage fidelity. Cas9-DTU fusion proteins have improved target site binding precision, greater nuclease activity, and a broader sequence targeting range than standard Cas9 systems. Existing Cas9 or sgRNA variants (e.g., truncated sgRNAs (tru-gRNAs), nickases and FokI fusions) are compatible with these improvements to further reduce off-target cleavage.

Abstract: Direct pin-fin cooling assemblies are disclosed for a high-power printed circuit boards (PCBs). The disclosure can solve the classical coldplate problem associated with liquid cooling of high-power PCBs namely: (1) Inhomogeneous cooling due to the calorimetric heating up of the coolant, (2) thermal interface material (TIM) related quality issues such as dry-out effects, (3) high cost due to complicated metal coldplate structure, and (4) low thermal conductivity due to multi-layer structure. This includes incorporating pin-fin direct cooling into high-power PCB structures without additional coldplate structure or TIM. In this approach, a TIM and a top plate of coldplate can be removed. Thus, the cooling performance can be improved because the thermal conductivity between a liquid coolant and a power device is increased.

Abstract: Event workflow management in computing systems are disclosed herein. In one example, a process includes receiving a data package defining an event containing data representing a category corresponding to a type of activity of the event and having a workflow property. The process can then include creating or modifying a backend workflow of the event corresponding to the workflow property of the category and monitoring for the one or more status conditions of the event included in the backend workflow. When the monitoring indicates that the one or more status conditions of the event are satisfied, the one or more actions in the sequence of the backend workflow are executed in relation to the event.

Abstract: Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support automated optimization of product management systems. In embodiments, automated optimization of component tools of the product management system is provided by automated evaluation and optimization of associated rules and metadata. In embodiments, metadata and rules may be associated to each other by an assessment engine. A recommendation engine may then identify non-compliant metadata, may determine a condition of the rule, and/or may generate recommendations for the rules based on the non-compliant metadata. Automated optimization of the product management system may include automated creation and mapping of decomposition relationships between commercial products and technical products. In embodiments, input data may be parsed into a set of object with unique attribute fields, which may then be validated.

Abstract: Systems and methods for facilitating validation of datasets are disclosed. A system may include a processor. The system may include a data validator implemented via the processor to receive an input dataset including a component metadata. The data validator may perform, using an validation model and through a rules engine, validation of information in the component metadata to obtain a validation dataset. The validation may enable to predict at least one invalid feature in the component dataset. The system may include an insight generator implemented via the processor to generate, based on the validation datasets, automated insights pertaining to mitigation of the at least one invalid feature. In an embodiment, the automated insights may be stored in a distributed ledger to facilitate an authenticated storage of the automated insights. The authenticated storage may be facilitated by a network comprising a plurality of nodes.

Abstract: A method for repairing a memory device with faulty memory cells. The method includes defining a RA environment comprising a location of each of the faulty memory cells and a plurality of SR and a plurality of SC. The method further includes repairing the faulty memory cells based on an RA training process using the defined RA environment and mapping of the location of each faulty memory cell with the plurality of SC or SR. The method further includes training, based on a determination that indicates the at least one faulty memory cell among the faulty memory cells is left unrepaired and the at least one SC or SR is remaining, a first NN to perform an action for repairing of the faulty memory cells such that a maximum number of faulty memory cells are reparable and a minimum number of SC and SR are utilized during the repairing.

Abstract: A data storage device tracks information about the ages and read counts of blocks of memory, which are indicative of data retention and read disturb issues, respectively. The data storage device uses a machine-learning model to predict which blocks in the memory are likely to contain errors based on the tracked information, and a read scrub operation is performed only on those blocks. Limiting the number of blocks that are read scrubbed reduces read amplification and reduces the time required for the read scrub process.

Abstract: A computer-implemented method performed at least in part by a graph database configured to store at least one graph dataset. The method includes receiving a graph query configured to be performed against a machine learning model, and communicating the graph query with a machine learning system that is configured to use the machine learning model to obtain model inference results and communicate those model inference results to the graph database application. The graph database provides query results based at least in part on the model inference results to an entity.

Abstract: Aspects for remote analysis of file system metadata are described. In an example, a computer-readable file from a client system is received. The computer-readable file comprises file system metadata of a file system, and corresponding source location of the file system metadata on a volume of the client system. Thereafter, a target location on a target volume is identified, wherein the target location corresponds to the source location on the volume of the client system. In an example, the file system metadata is replicated onto the target location based on the computer-readable file, for analysis.

Abstract: Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support automated optimization of product management systems. In embodiments, automated optimization of component tools of the product management system is provided by automated evaluation and optimization of associated rules and metadata. In embodiments, metadata and rules may be associated to each other by an assessment engine. A recommendation engine may then identify non-compliant metadata, may determine a condition of the rule, and/or may generate recommendations for the rules based on the non-compliant metadata. Automated optimization of the product management system may include automated creation and mapping of decomposition relationships between commercial products and technical products. In embodiments, input data may be parsed into a set of object with unique attribute fields, which may then be validated.

Abstract: A method (200), and a device (100) for determining onset of sepsis is provided. In one aspect, the method (200) includes receiving at least one medical dataset associated with the patient, wherein the medical dataset comprises a plurality of features. Further, the method (200) includes extracting one or more features from the medical dataset, wherein the one or more features comprises parameters associated with the patient which are indicators of sepsis. Additionally, the method (200) includes imputing at least one missing value in the medical dataset, wherein the missing value is associated with the features in the medical dataset. The method (200) also includes determining an output parameter indicative of the onset of sepsis in the patient by using the one or more features and the at least one missing value in the medical dataset as an input for one or more trained machine learning model (700).

Abstract: A storage system and method for data-driven intelligent thermal throttling are provided. In one embodiment, the storage system comprises a memory and a controller. The controller is configured to determine a temperature of the memory, estimate a future temperature curve based on the temperature of the memory, and determine a memory throttling delay to apply based on the estimated future temperature curve. Other embodiments are provided.

Abstract: Aspects of the technology evaluate a client device query to identify an IP address-based estimated location of a mobile device (602, 604). One or more candidate wireless stations are selected in accordance with the IP-based estimated location and a location-relevant response to the query is also generated in accordance with the IP-based location. This information is transmitted to the mobile device. (606, 608). The mobile device compares the received information about the candidate wireless stations against one or more actual wireless stations with which the mobile device is in communication (506, 508). Log information is generated as a result of the comparison. The log information is anonymized and transmitted to the network without user ID or other client-identifiable information included in the log. (FIG. 1, 510) The received log information is then used to validate the initial estimated location. Aggregation of log information from multiple devices may be used in the validation process. (FIG. 1, 612).

Abstract: The present invention provides a system which comprises a database of previous interactions between help line users and help line responders. The database allows call response centers to review call interaction data and provide scores to individual users, real-time interactions, and call responders.

Abstract: Aspects of the technology evaluate a client device query to identify an IP address-based estimated location of a mobile device (602, 604). One or more candidate wireless stations are selected in accordance with the IP-based estimated location and a location-relevant response to the query is also generated in accordance with the IP-based location. This information is transmitted to the mobile device. (606, 608). The mobile device compares the received information about the candidate wireless stations against one or more actual wireless stations with which the mobile device is in communication (506, 508). Log information is generated as a result of the comparison. The log information is anonymized and transmitted to the network without user ID or other client-identifiable information included in the log. (FIG. 1, 510) The received log information is then used to validate the initial estimated location. Aggregation of log information from multiple devices may be used in the validation process.

Abstract: In some implementations, a device may receive a request to merge a first cloud computing instance with a second cloud computing instance to generate a multi-cloud computing instance. The device may access a first application programming interface to obtain a first configuration of the first cloud computing instance. The device may access a second application programming interface to obtain a second configuration of the second cloud computing instance. The device may generate a target configuration based on the first configuration or the second configuration. The device may instantiate a set of resources with the target configuration for the multi-cloud computing instance. The device may provide output identifying the multi-cloud computing instance.

Abstract: Direct pin-fin cooling assemblies are disclosed for a high-power printed circuit boards (PCBs). The disclosure can solve the classical coldplate problem associated with liquid cooling of high-power PCBs namely: (1) Inhomogeneous cooling due to the calorimetric heating up of the coolant, (2) thermal interface material (TIM) related quality issues such as dry-out effects, (3) high cost due to complicated metal coldplate structure, and (4) low thermal conductivity due to multi-layer structure. This includes incorporating pin-fin direct cooling into high-power PCB structures without additional coldplate structure or TIM. In this approach, a TIM and a top plate of coldplate can be removed. Thus, the cooling performance can be improved because the thermal conductivity between a liquid coolant and a power device is increased.